Investment Data Jobs in Mumbai

Equity Research Analyst Location: Mumbai Experience Required: 2 - 3 Years Employment Type: Full Time Role & Responsibilities: Conduct detailed quantitative and qualitative analysis of investment proposals. Stay updated on industry trends and market developments related to assigned sectors. Develop and maintain financial models to support investment decisions. Prepare well-researched reports and presentations for internal and external stakeholders. Track corporate announcements, policy changes, and assess their impact on equities and portfolio performance. Monitor investee companies through media updates, financial results, and corporate disclosures. Participate actively in research team meetings and discussions. Be willing to travel for factory visits, management meetings, and industry conferences. Key Requirements: A natural curiosity and willingness to work both hard and smart. Strong conceptual understanding of technical terms, macroeconomic issues, and market dynamics. Aptitude for analyzing financial data, strategic challenges, and trends affecting companies and industries on both regional and global scales. Proficient in Excel and PowerPoint, with experience in financial modeling and valuation techniques. Solid foundation in accounting and investing concepts. Excellent written and verbal communication skills, with the ability to present and defend research findings confidently. Qualifications: Educational background in any field is acceptable. CFA certification is a plus. Demonstrated proficiency in financial modeling and analysis.

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: Equity Research Associate (AMC) Location: Mumbai About Groww Mutual Fund Who We Are: Groww Mutual Fund, formerly known as Indiabulls Mutual Fund, is dedicated to providing mutual fund schemes that cater to a wide variety of investor needs. We operate with a strong focus on simplicity, transparency, and long-term wealth creation, always placing our investors at the center of everything we do. With the robust backing of Groww Invest-Tech Private Limited, our diverse portfolio includes equity funds, hybrid funds, and debt funds, all designed to capture investment opportunities that balance growth potential with solid fundamentals. Our Mission Our primary mission is to create steady, long-term wealth for our investors. Through diligent research and careful planning, we discover and develop innovative schemes that allow our investors to harness the best wealth-building opportunities available. What We Stand For Simplicity and Transparency: Clear, jargon-free communication to help our investors make informed decisions. Consistent Wealth Creation: A focus on selecting securities that consistently compound returns, helping investors realize their financial goals. Customer Centricity: Products and resources tailored to meet investors financial objectives, with a commitment to superior service and support. Innovation: Continuously evolving to redefine wealth management with innovative schemes that cater to diverse risk appetites, timelines, and liquidity needs. About the Role As an Equity Research Associate, you will play a pivotal role in providing high-quality, objective investment research to support the fund management team s decision-making process. You will analyze sector trends, financial data, and emerging opportunities to deliver timely and actionable investment recommendations. Your expertise in fundamental analysis and financial modeling, combined with the ability to track industry developments, will help the team identify key trends and investment opportunities, ultimately contributing to the generation of alpha. The role is ideal for candidates with a solid understanding of financial markets and those looking to scale their skills toward future fund management responsibilities. Key Responsibilities: Financial Analysis: Create and maintain earnings, valuation, and industry models for your assigned sectors. Research & Identification: Analyze data to uncover emerging investment opportunities and risks. Investment Ideas: Generate actionable buy/sell recommendations to drive alpha for the portfolio. Documentation & Reporting: Maintain detailed documentation on sector developments, industry news, and trends. Provide timely insights to the team. Primary Research: Devise and conduct primary research methods, keeping a pulse on sector sentiment, emerging trends, and key market shifts. Collaboration: Actively contribute to team discussions, providing timely insights and support in investment decision-making. Qualifications & Expertise: Educational Background: Master s degree in Finance, Economics, or CA. Experience: 1-3 years of relevant experience in equity research or financial analysis. Sector Expertise: Strong understanding of the assigned sector(s) with a deep knowledge of fundamental analysis, financial modeling, and valuation techniques. Certifications (Preferred): CFA, CA, FRM, or MBA is a plus. Analytical Skills: Strong proficiency in financial analysis, model-building, and interpretation of data. Execution & Teamwork: A self-starter with the ability to work independently while being an effective team player. Impact: Play a crucial role in shaping investment strategies and decisions at Groww. Growth: Opportunities to expand your skill set and grow toward future fund management roles. Innovation: Be part of an innovative, customer-first team redefining wealth management. Culture: Join a dynamic, fast-growing company where collaboration, transparency, and continuous learning are at the forefront. If you re passionate about equity research and eager to contribute to the success of India s fastest-growing mutual fund platform, we d love to hear from you. Qualification : Masters degree in Finance, Economics, or CA

Position: FP&A Manager Location: Mumbai, India (Andheri East and/or Turbhe) Division: Finance Employment Type: Full-Time, Onsite About Blenheim Chalcot Blenheim Chalcot is a leading global venture builder with over 25 years of experience creating and scaling SaaS businesses powered by Generative AI. With a portfolio of 60+ ventures across sectors such as financial services, education, health, and marketing, we leverage a global ecosystem including Scale Space in London, the Rajasthan Royals in Mumbai, and a go-to-market base in Austin. This ecosystem equips us with world-class talent, tools, and support to accelerate growth and build market-leading companies. Our Values Honesty and Integrity: Acting with transparency and trustworthiness. Resilience: Remaining optimistic and adaptable through challenges. Teamwork: Collaborating to elevate each other and deliver results. Innovation: Continuously seeking improvements and challenging norms. Deliver Results: Committing to high-quality work and keeping promises. Commercial Awareness: Driving value through smart financial decisions. Role Overview As FP&A Manager, you'll play a crucial role in driving the financial planning, analysis, and reporting functions to support strategic decision-making across the organization. This is a dynamic position requiring a proactive, data-driven mindset suited for a fast-paced, high-growth SaaS environment. You'll partner closely with business leaders to provide actionable insights, identify risks and opportunities, and enhance financial processes. Key Responsibilities Lead budgeting, forecasting, and long-range financial planning across multiple business units. Deliver insightful financial analysis, variance reporting, and performance tracking. Collaborate with business leaders to evaluate financial results and operational efficiency. Develop and maintain complex financial models to support scenario planning and investment decisions. Prepare monthly management reports, board presentations, and detailed variance commentary. Monitor KPIs and key business metrics, providing clear and actionable insights. Drive continuous improvements in FP&A tools, processes, and reporting systems. Communicate complex financial data effectively to both finance and non-finance stakeholders. About You 5+ years of experience in FP&A, corporate finance, or related roles. Professional finance qualification preferred (CIMA, ACCA, ACA, or equivalent). Expert Excel skills, including advanced formulas, pivot tables, and financial modeling. Experience with financial planning tools and SaaS/technology sector preferred. Ability to thrive in ambiguous, fast-moving environments and manage multiple stakeholders. Strong analytical skills with the ability to translate data into strategic insights. Excellent communication skills with professional written and spoken English. Self-motivated, adaptable, and able to work effectively under tight deadlines. Be part of a forward-thinking, AI-powered technology venture ecosystem. Work with senior leadership and cross-functional teams driving innovation. Competitive salary and opportunities for professional growth. Collaborative and supportive work environment focused on development. Recruitment Process We have a structured recruitment process to ensure we find the best fit for our team. This role is office-based at our Mumbai locations, fostering strong collaboration and community growth. If you are a strategic thinker passionate about finance and technology, and eager to contribute to high-impact decisions in a dynamic setting, we encourage you to apply!

Business Analyst Risk P&L Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a technology- and data-driven firm that applies a scientific approach to investing. Our collaborative and innovation-focused culture enables us to address the most complex challenges and consistently deliver high-quality returns for our investors. Role Overview We are seeking a skilled Business Analyst Risk P&L to join our team in Mumbai. This role is critical for ensuring seamless coordination between Risk Managers, Trading Desks, Technology Teams, and Operations. You will be responsible for risk and P&L analysis, system enhancements, data reconciliation, and contributing to strategic initiatives. Key Responsibilities Collaborate with traders, risk managers, and stakeholders to gather, analyze, and define business requirements related to risk and P&L systems. Reconcile daily/weekly/monthly Risk and P&L figures between internal systems and external parties. Prepare detailed financial and reconciliation reports for senior management. Use tools such as SQL and Python for data extraction, transformation, analysis, and reporting. Coordinate with cross-functional teams, including IT, Operations, and external vendors, to ensure timely project delivery and system enhancements. Proactively identify process inefficiencies and recommend improvements. Act as a key point of contact for risk and P&L related queries across the organization. Required Qualifications and Experience Experience: 4 7 years in a similar Business Analyst or technical role within financial services, preferably with exposure to trading or investment environments. Technical Skills: Strong knowledge of databases (SQL) and data analysis tools. Proficiency in Python or other programming languages is highly preferred. Domain Knowledge: Solid understanding of financial markets and instruments (equities, derivatives, etc.). Familiarity with Risk Management concepts and P&L reporting. Analytical Skills: Exceptional problem-solving ability and attention to detail. Ability to interpret and reconcile complex financial data. Soft Skills: Excellent communication skills both written and verbal. Effective collaboration skills across departments and with senior stakeholders. Why Join QRT Diverse & Inclusive Culture: We are committed to equality and encourage diverse perspectives that drive better outcomes. Work-Life Balance: QRT supports employees with wellness programs and flexible work arrangements. Innovation-Focused: Be part of a high-performing team that values continuous learning, curiosity, and ingenuity. Global Impact: Contribute to sophisticated risk and trading systems that operate on a global scale.

Crypto Quantitative Researcher Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven firm that applies scientific methodologies to investing. Our collaborative, research-oriented culture enables us to solve complex challenges, continuously innovate, and deliver exceptional results for our investors. Role Overview We are seeking a Crypto Quantitative Researcher to join our elite global research team. In this role, your primary objective is to develop high-quality, predictive trading signals using large-scale crypto and financial datasets. You will conduct in-depth quantitative research, design and test strategies, and implement them into our production environment with support from cutting-edge infrastructure. Key Responsibilities Develop, test, and implement systematic crypto trading strategies based on predictive models and statistical patterns. Leverage structured and unstructured datasets to identify actionable insights in the digital assets space. Collaborate with fellow researchers, data scientists, and technologists to discuss methodologies, share research, and optimize signals. Integrate signals into QRT s global execution platform and monitor performance over time. Stay informed about emerging trends in cryptocurrency, decentralized finance (DeFi), and blockchain ecosystems. Required Qualifications & Experience Experience: Proven track record in developing and implementing systematic crypto strategies. Minimum 2 years of experience in quantitative research or trading within the financial industry. Education: Advanced degree (Master s/Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Data Science, Physics, or Engineering. Skills & Knowledge: Strong statistical analysis and machine learning capabilities; NLP/AI experience is a plus. Deep understanding of crypto markets, DeFi protocols, and blockchain data (preferred). Proficient coding skills in Python (required); knowledge of C++ is a plus. Experience with production-level systems and latency-sensitive environments is advantageous. Ability to work independently while thriving in a collaborative, high-performance culture. Strong communication skills to work effectively with global, cross-functional teams. Work in a high-impact role within a research-led, collaborative environment. Access to sophisticated infrastructure and proprietary data. Competitive compensation aligned with performance. Programs to support wellness and a healthy work-life balance. A diverse, inclusive, and intellectually stimulating workplace. Qualification : Advanced degree (Masters/Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Data Science, Physics, or Engineering.

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Quantitative Data Analyst Location: Mumbai About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks priorities Becoming an expert on QRT s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimize time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Prior experience working with commodities data is a must Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Quantitative Researcher Macro Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We leverage technology, data, and research combined with trading expertise to solve complex challenges and generate high-quality returns for our investors. Our culture of innovation and collaboration drives our ambition to remain at the forefront of quantitative investing. Your Future Role within QRT As a Quantitative Researcher specializing in Macro strategies, you will lead the end-to-end research process from signal generation through implementation. Your primary goal will be to develop high-quality predictive signals by analyzing large and diverse macroeconomic datasets, identifying statistical patterns and investment opportunities. You will collaborate globally with researchers, data scientists, technologists, and traders to share methodologies and improve strategy performance over time. Key Responsibilities Lead full-cycle strategy research: signal generation, testing, implementation, and ongoing monitoring. Analyze large, diverse datasets to identify meaningful macroeconomic statistical patterns and opportunities. Collaborate and communicate research results, data sets, and processes with global teams. Integrate signals and datasets into QRT s global execution platform. Continuously track and optimize model performance within your strategies. Your Present Skillset Minimum 3 years of relevant experience with a proven track record in systematic strategy development. Advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Strong knowledge of statistics, machine learning, NLP, or AI techniques is advantageous. Proficiency in at least one major programming language (Python, R, Matlab, C++, C#). Experience analyzing large datasets across multiple time frames is a plus. Ability to multitask and maintain high attention to detail in a fast-paced environment. Intellectual curiosity and problem-solving mindset to explore new data sources and innovative research processes. Ability to work independently while contributing effectively within a collaborative global team. Excellent communication skills to engage with technologists, data scientists, and traders worldwide. Equal opportunity employer fostering a diverse and inclusive workplace. Empowering employees to work openly and respectfully for collective success. Comprehensive programs supporting healthy work-life balance alongside professional growth.

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.

Job Title: Data Analyst Investment Team Location: Mumbai, India Company: BCI Finance (Part of Blenheim Chalcot Portfolio) Experience: 1 3 Years Department: Investment & Analytics Employment Type: Full-Time The Role: We are looking for a highly analytical and detail-oriented Data Analyst to join the Investment Team at BCI Finance, part of the Blenheim Chalcot portfolio. You ll play a key role in building models, conducting borrower-level data analysis, maintaining databases, and developing dashboards that directly influence investment decisions and credit strategies. This role offers exposure to real-world financial data, modern data platforms, and the chance to contribute to the next generation of GenAI-enabled FinTech businesses. Key Responsibilities: Run-Off Modelling Build and maintain run-off models to assess credit security against borrower portfolios. Contribute to quarterly IFRS9 provisioning through model updates. Conduct scenario and sensitivity analyses for new deal structures. Borrower Data Analysis Analyze loan-level performance to identify trends, risks, and concentration issues. Support investment memos with actionable credit risk insights. Maintain and update Power BI dashboards for borrower monitoring. Present emerging trends during monthly monitoring sessions. Data Management & Platform Development Upload and manage borrower data in a PostgreSQL database. Ensure data integrity and consistency across systems. Assist in developing Python-based analytics tools for internal users. Technical Stack: Required Skills Excel: Advanced skills for model building and financial analysis. Python: For analytics, data manipulation, and scripting. AI Tools: Familiarity with tools like ChatGPT and Cursor to enhance productivity. Nice-to-Have Skills SQL (PostgreSQL): For data extraction and management. Power BI: For creating dashboards and visual reporting. Note: Support in Python, SQL, and Power BI is available through the India team. About You: The ideal candidate thrives in fast-paced, data-driven environments and enjoys working cross-functionally. You're a problem-solver with a technical edge and a solid understanding of financial and investment principles. Qualifications & Experience: Bachelor's degree in a STEM field, Finance, or a quantitative discipline. Strong financial modeling and Excel experience. Working knowledge of Python and/or SQL. Basic understanding of credit risk and investment structures. Comfortable working with large, complex datasets. What We Offer: Competitive Compensation. Exposure to global FinTech investment processes. Learn directly from Blenheim Chalcot, the world s leading digital venture builder. Hands-on experience with GenAI tools and next-gen data platforms. Private medical insurance for you and your immediate family. Life insurance coverage. 24 days annual leave + 10 public holidays. A dynamic and fun culture (we own the Rajasthan Royals IPL team!). About BCI Finance: BCI Finance is a private credit-specialist investment manager under Blenheim Chalcot, focused on empowering high-growth FinTech companies through flexible, empathetic debt solutions. Known for its strong track record through the Credit Opportunities Fund, BCI blends rigorous credit analysis with innovative funding strategies. About Blenheim Chalcot: Blenheim Chalcot has been building digital businesses for over 26 years across FinTech, EdTech, GovTech, HealthTech, and more. With a team of 3,000+ and a presence in the UK and India, Blenheim Chalcot helps ventures scale by providing strategic expertise and operational support in technology, growth, talent, finance, and legal. Diversity & Inclusion: At Blenheim Chalcot, we re committed to creating an inclusive culture. We celebrate diversity and aim to empower all employees to achieve their full potential through equal opportunities and respect for all voices. Qualification : Bachelor's degree in a STEM field, Finance, or a quantitative discipline

Overview of Technology Roles At BlackRock, technology has always been at the core of what we do. Our technologists are continually shaping the future of the industry through innovative work. We are not only curious but also collaborative, eager to embrace experimentation to solve complex challenges. We foster an environment that promotes working across teams, businesses, regions, and specialties. BlackRock is committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders globally. Job Description About This Role: BlackRock Company Overview: BlackRock is a global leader in investment management, risk management, and advisory services for both institutional and retail clients. Our wide range of products including separate accounts, mutual funds, iShares (exchange-traded funds), and other pooled investment vehicles helps clients achieve their goals and overcome challenges. We also provide risk management, advisory, and enterprise investment system services to institutional investors through BlackRock Solutions . Headquartered in New York City, BlackRock manages approximately $11.5 trillion in assets (as of February 5, 2025) and has around 19,000 employees across 38 countries. Aladdin Data: When BlackRock was founded in 1988, the goal was to combine financial services with cutting-edge technology. Today, BlackRock is a leading FinTech platform for investment management globally. Data is central to our Aladdin platform, which sets us apart through our ability to consume, store, analyze, and extract insights from it. The Aladdin Data team maintains a pioneering data platform that provides high-quality data to a wide range of users including investors, operations staff, data scientists, and engineers. Our goal is to consistently deliver high-quality data while evolving our platform to support BlackRock's growth. We build high-performance data pipelines, enable data discovery and consumption, and continually enhance our data storage capabilities. Studio Self-Service Front-End Engineering: The Studio Self-Service Front-End Engineering team develops full-stack web applications for vendor data self-service, client data configuration, pipelines, and workflows. Our work supports over a thousand internal users and hundreds of clients. We manage a suite of tools, including client-facing data requests, modeling, configuration management, ETL tools, CRUD applications, customized workflows, and backend APIs. Our focus is to deliver exceptional client and user experiences through intuitive tools and an excellent user experience (UX). Job Responsibilities: Design, Build, and Maintain Applications: Develop both front-end and back-end platform components in collaboration with Product and Program Managers. Implement New Functionalities: Build new user interfaces and business functionalities to meet evolving business and customer needs, with clear documentation. Improve Application Performance: Analyze and optimize the performance of applications and workflows to improve efficiency and throughput. Diagnose and Resolve Issues: Research and resolve software defects, ensuring smooth application operations. Ensure Software Stability: Conduct documentation, code reviews, regression, unit, and user acceptance testing for smooth production operations. Lead Application Support: Lead all aspects of level 2 & 3 application support, ensuring smooth operations and addressing new business opportunities. Independent Work: Take initiative and work with minimal direction in a globally distributed team. Role Essentials: Passion for Engineering: Demonstrate a passion for engineering highly available, performant full-stack applications with a "Student of Markets and Technology" attitude. Educational Background: Bachelor s or Master s degree (or equivalent experience) in Computer Science, Engineering, or a related field with 8+ years of relevant experience. Team Experience: 3+ years of professional experience working in teams. VP-level candidates should have experience leading teams delivering critical applications. Technical Skills: Proficiency in Angular, React, JavaScript for user-facing application development. Experience with Java-based REST APIs (e.g., Spring Framework). Familiarity with Protractor, TestCafe, Jest for testing. Knowledge in relational databases and at least one NoSQL database (e.g., Apache Cassandra, MongoDB). Familiarity with software development methodologies (analysis, design, development, testing) and Agile/Scrum practices. Our Benefits: To help you stay energized, engaged, and inspired, we offer a comprehensive range of benefits, including: A strong retirement plan to ensure your financial future. Tuition reimbursement for continuous learning and development. Comprehensive healthcare to keep you and your family covered. Flexible Time Off (FTO) to relax, recharge, and spend time with loved ones. Our Hybrid Work Model: BlackRock s hybrid work model promotes collaboration and apprenticeship, enriching the experience of employees while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the flexibility to work 1 day from home. Some business groups may require more office presence based on role requirements. This model fosters impactful moments when working together in person, which aligns with our commitment to performance and innovation. About BlackRock: At BlackRock, we are united by one mission: to help more people experience financial well-being. Our clients ranging from individuals saving for retirement to businesses and governments investing in infrastructure are benefiting from the investments they make through BlackRock. These investments strengthen the global economy by supporting businesses, financing cities, and facilitating innovation. We believe our success depends on the talent and diversity of our employees. That's why we are committed to creating an enviro...

Job Title: Full Stack Java Developer Location: Mumbai Experience: 7+ years Company: MSCI About MSCI: At MSCI, we power better investment decisions by delivering critical decision-support tools and services to the global investment community. With over 50 years of expertise in research, data, and technology, MSCI helps clients understand risk, improve transparency, and build more effective portfolios. Our innovative, high-performance culture encourages experimentation, accountability, and continuous learning. We actively foster inclusion, belonging, and connection through diverse Employee Resource Groups and flexible working arrangements, empowering every employee to thrive. Your Role: We are looking for a highly skilled Full Stack Java Developer to join our Corporate Events and Dividends data management team in Mumbai. You will play a pivotal role in designing, building, and maintaining cutting-edge data solutions that support critical financial processes. This is an exciting opportunity to collaborate with global IT and business teams, applying your technical expertise to solve complex problems, optimize performance, and contribute directly to MSCI s innovative products. Key Responsibilities: Design and develop robust, scalable, and high-performance solutions for data management systems. Collaborate closely with global IT and business teams to understand requirements and translate them into technical solutions. Write and optimize complex SQL queries for high-volume data processing in Oracle or other relational databases. Lead and contribute to technical discussions with senior engineers, architects, and business stakeholders. Build responsive and intuitive web interfaces using TypeScript and frameworks like React, Angular, or Vue. Implement and manage concurrent, multi-threaded systems while addressing potential challenges in such environments. Ensure adherence to best practices in object-oriented design, memory management, performance tuning, and system architecture. Develop RESTful APIs to facilitate seamless data exchange across platforms. Drive code quality and performance optimization through effective reviews and hands-on problem-solving. Take full ownership of deliverables, working both independently and collaboratively in a diverse, global team. Skills & Experience Required: Minimum 7 years of hands-on experience in Java development, with a focus on object-oriented design and multi-threaded applications. Strong expertise in Spring framework, JMS, and core Java technologies. Solid experience working with relational databases (preferably Oracle) ability to write complex SQL queries and perform SQL performance tuning. In-depth understanding of Java internals, including data structures, memory management, garbage collection, and concurrent programming. Experience building responsive user interfaces using TypeScript and frameworks like React, Angular, or Vue. Experience working in a UNIX environment is highly desirable. Familiarity with cloud technologies (Azure/AWS) is a strong plus. Experience with REST API development. Strong analytical mindset with exceptional problem-solving skills. Ability to communicate effectively and work seamlessly in a collaborative, global team environment. Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (First class preferred). Alternatively, a Master s degree (MCA/M.Tech) is also acceptable. What We Offer: Transparent and competitive compensation. Comprehensive benefits tailored to your location. Flexible work arrangements and cutting-edge technology. Global Orientation Program and continuous learning opportunities through Learning@MSCI and LinkedIn Learning Pro. Clear, multi-directional career paths that foster professional growth. A culture of high performance, innovation, and inclusion supported by Employee Resource Groups such as Women in Tech, Pride & Allies, All Abilities, and more. Join us at MSCI and become part of a global team that drives innovation and creates industry-leading solutions. Qualification : Bachelors degree in Computer Science, Information Technology, or related field (First class preferred).

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Real Assets Data Analyst Job Description About the Role As a Real Assets Data Analyst at MSCI, you will be part of our Real Assets Data team, supporting real estate performance analysts in delivering real estate indexes, performance benchmarks, and customized analysis to global asset managers and asset owners. Key Responsibilities Track and monitor commercial real estate transactions from news sources and third-party data providers. Manage a portfolio of clients and/or funds, ensuring data accuracy and alignment with methodologies. Respond to client inquiries, analyze fund data, and apply necessary corrections based on MSCI s methodologies. Deliver custom performance analyses and reports as requested by clients. Collaborate with internal teams and local market experts to maintain high data quality and client satisfaction. Contribute to assigned projects, ensuring timely delivery. Identify opportunities for process improvements and drive operational efficiencies. Apply analytical and problem-solving skills to enhance workflows and processes. Skills & Qualifications Strong foundation in accounting and finance. Proficiency in MS Excel; knowledge of VBA or Python is a plus. Experience 0-4 years of experience in financial services or a related field. Education Bachelor s degree in finance, accounting, economics, engineering, or a related field. About MSCI MSCI is a leading provider of decision-support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI empowers clients to make better investment decisions by providing insights into risk, return, and portfolio transparency. Qualification : Bachelors degree in finance, accounting, economics, engineering, or a related field.

Position: Analytics Client Service Manager Location: Mumbai Department: Client Coverage Global Client Service Team About the Role We are looking for a seasoned Analytics Client Service Manager to join our Client Coverage team in Mumbai. The Global Client Service team at MSCI consists of experienced financial professionals who provide first-level support to our global client base. This team is responsible for handling a broad range of queries related to methodology, product usage, interpretation, and technical aspects across our analytics and benchmark product suite. The team engages with clients primarily through email and phone and works closely with Sales, Consultants, and internal teams to ensure seamless client engagement and satisfaction. Key Responsibilities Team Leadership and Development Recruit, onboard, and coach team members, equipping them with the skills and product knowledge they need to succeed. Establish clear performance expectations and conduct regular performance evaluations. Foster a culture of collaboration, continuous learning, and positive team dynamics. Client Relationship Management Develop strong, trust-based relationships with clients to understand their evolving needs and business goals. Serve as the escalation point for complex client issues, ensuring swift and effective resolution. Maintain regular communication with clients, providing proactive updates, gathering feedback, and ensuring overall satisfaction. Service Delivery Oversight Manage the delivery of analytics support services, ensuring all client requests are addressed promptly and with the highest quality. Establish and refine standard operating procedures (SOPs) to maintain service consistency. Track and analyze service performance metrics to identify trends, gaps, and areas for improvement. Product Expertise and Knowledge Sharing Ensure the team maintains deep product knowledge, enabling them to confidently advise clients on the optimal use of MSCI s analytics tools. Organize regular training and knowledge-sharing sessions to keep the team up to date. Stay informed on product enhancements and industry trends to ensure the team provides relevant and value-driven support. Reporting and Insights Generate regular performance reports, tracking key service metrics and client satisfaction scores. Provide actionable feedback based on client interactions to internal teams, helping shape product and service improvements. Present insights and strategic recommendations to senior management to continuously enhance the client service function. Strategic Operations and Process Optimization Develop and execute strategic plans aimed at enhancing the client service offering. Identify and implement process improvements to increase efficiency and elevate client experience. Ensure alignment between team objectives, broader MSCI goals, and client needs. Skills and Experience That Drive Success 12+ years of professional experience, including proven experience in client service roles, ideally within analytics or related industries. Excellent English communication skills both written and verbal with the ability to convey complex information clearly and persuasively. Strong presentation and report-writing capabilities. Strong execution skills, with the ability to monitor and manage team performance using reports, dashboards, and other tracking tools. Analytical mindset with strong problem-solving abilities, particularly in numerical analysis using Microsoft Excel. Hands-on experience managing escalations and resolving complex client issues effectively. Demonstrated people management experience, with the ability to lead large teams and oversee service delivery operations. A Bachelor s degree in Finance, Engineering, Mathematics, Statistics, Economics, or a related field. Professional certifications like CFA or FRM are a plus. About MSCI At MSCI, our mission is to power better investment decisions. With over 50 years of expertise in research, data, and technology, we provide critical decision-support tools to the global investment community. Our innovative, research-enhanced solutions empower clients to understand risk, optimize performance, and build better portfolios. Competitive compensation packages and comprehensive benefits designed to support your financial security, health, and well-being. Flexible work options, advanced technology, and collaborative office environments. A culture that encourages innovation, accountability, and experimentation. A global community of talented colleagues who inspire, support, and collaborate to drive innovation and deliver client value. A structured Global Orientation Program, along with continuous access to learning platforms like Learning@MSCI and LinkedIn Learning Pro, plus tailored development opportunities. Multi-directional career paths, offering both vertical growth and lateral opportunities within MSCI. A commitment to diversity, equity, and inclusion, championed through our Employee Resource Groups including All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and the Women s Leadership Forum. At MSCI, you will join a team of curious, innovative, and entrepreneurial minds who are passionate about driving meaningful change in the investment industry. This is where you can push boundaries, challenge yourself, and exceed expectations for yourself, our clients, and our industry. Qualification : A Bachelors degree in Finance, Engineering, Mathematics, Statistics, Economics, or a related field. Professional certifications like CFA or FRM are a plus.

About the Team: The team is responsible for creating and delivering high-quality financial content derived from sell-side research. By leveraging advanced data extraction technologies combined with deep domain expertise, the team ensures efficient and accurate data collection. Collaboration, attention to detail, and a focus on continuous process improvement are key pillars of the team s success in delivering impactful insights to clients. The Impact: In this role, you will play a vital part in delivering accurate and timely financial insights that empower clients to make informed investment decisions. By maintaining the highest standards of data accuracy and reliability, you will directly enhance the credibility and usability of our consensus data, contributing to client satisfaction, business success, and S&P Global s reputation in the financial markets. What s in it for You: Develop expertise in understanding and interpreting sell-side models, strengthening your analytical and financial acumen. Gain hands-on experience with data extraction tools and methodologies. Collaborate with a global team and grow professionally through structured learning, mentoring, and cross-functional exposure. Key Responsibilities: Extract and prepare high-quality financial content from sell-side research reports using advanced data extraction tools and sector-specific expertise. Analyze business models across various publicly listed companies and highlight key modeling approaches used by analysts. Conduct thorough quality checks to ensure data accuracy and reliability. Collaborate closely with team members to continuously optimize data collection processes and enhance overall efficiency. Effectively communicate key insights and findings with internal stakeholders, contributing to process enhancements and knowledge sharing. What We re Looking For: Education: Graduate in B.Com (Hons/Pass), BBA, BBE, BBS/BMS, or BFIA. Candidates who have cleared CFA Level 1 are preferred. Experience: 0 to 1 year of relevant experience in financial data collection, analysis, or related fields. Technical and Domain Skills: Understanding of basic financial concepts, including recurring income, financial statements, and ratio analysis. Proficiency in Microsoft Excel and other data management tools. Familiarity with financial modeling concepts (though this is not a modeling role). Soft Skills: Strong analytical mindset and attention to detail. Excellent problem-solving and troubleshooting abilities. Effective communication skills to collaborate with diverse teams and stakeholders. A proactive attitude with a willingness to learn and adapt. Work Shift: Primary shift: Day shift. Candidates must be willing to work in rotational shifts (including night shifts) for 2-3 weeks per quarter, as required. Shift timings: 5:00 AM to 2:00 PM 12:00 PM to 9:00 PM 8:00 PM to 5:00 AM Additional Note: This is not an Equity Research or Financial Modeling role. You will not write research reports or build sell-side financial models. However, the role offers unique exposure to various business models, financial statements, and modeling approaches used by top analysts across industries and geographies. This hands-on learning experience offers valuable insights into global financial markets. About S&P Global Market Intelligence: At S&P Global Market Intelligence, we recognize the power of accurate, comprehensive, and timely information. As part of S&P Global, we deliver essential intelligence, combining deep data, advanced technology, and expert insights to help our clients expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit: www.spglobal.com/marketintelligence Our Purpose: At S&P Global, we accelerate progress by transforming data into Essential Intelligence , helping companies, governments, and individuals identify risks and unlock new possibilities. In a complex and evolving world, we empower decision-makers to plan confidently for tomorrow, today. Our People: With over 35,000 employees across the globe, we combine local insights with a global perspective. Our culture thrives on curiosity, discovery, and partnership, driving innovation and enabling sustainable progress. From sustainability solutions to analytics platforms, we are redefining how data empowers action. Our Values: Integrity Acting with honesty, transparency, and fairness. Discovery Curiosity and continuous learning fuel our innovation. Partnership Collaboration drives better outcomes for our customers and each other. Benefits: We invest in your well-being and career growth through: Comprehensive health and wellness programs. Flexible time-off policies to support work-life balance. Continuous learning opportunities through training programs and educational support. Financial security through competitive pay, retirement plans, and student loan contribution programs. Family-friendly perks, including benefits for partners and dependents. Additional perks such as retail discounts, referral bonuses, and more. Qualification : Graduate in B.Com (Hons/Pass), BBA, BBE, BBS/BMS, or BFIA

Job Title: Account Executive Minimum Qualifications: Bachelor s degree or equivalent practical experience. Minimum of 5 years of experience in sales, advertising, or marketing. Preferred Qualifications: Strong understanding of traditional and digital marketing strategies, including expertise across all digital advertising product areas. In-depth knowledge of the local market with excellent analytical and problem-solving skills. Proven ability to think strategically about complex challenges and develop actionable recommendations. Demonstrated experience managing multiple projects simultaneously, engaging with a wide range of internal and external stakeholders. About the Role: At Google, businesses of all sizes partner with us to leverage our advertising solutions, and no single approach fits all. As an Account Executive, you will play a pivotal role in driving business growth for new and existing clients by leveraging your expertise in online media, communication, and market analysis. Your ability to build strong relationships, understand client needs, and align Google's diverse product offerings with their business objectives will be essential to success in this role. In this position, you will work closely with advertisers to develop and implement strategies that enhance their business growth while fostering long-term partnerships. You will navigate C-suite decision-making processes, uncover business opportunities, and help clients maximize their advertising impact by setting strategic goals and execution plans. The Google Customer Solutions (GCS) sales team serves as trusted advisors and strategic partners to small- and medium-sized businesses (SMBs) the backbone of our communities. As part of our team, you will have the opportunity to work directly with business owners, helping them scale and succeed while contributing to innovation in the digital advertising landscape. Key Responsibilities: Develop a deep understanding of clients' business needs, challenges, and goals to craft tailored advertising strategies that drive sustainable growth. Cultivate long-term relationships with key decision-makers, including C-level executives, positioning Google as a strategic partner. Manage a portfolio of customers in collaboration with account managers, ensuring consistent performance against targets while delivering an outstanding client experience. Serve as a trusted consultant, advising clients on optimizing and expanding their advertising investments through strategic insights and data-driven recommendations. Proactively identify growth opportunities, mitigate risks, and implement multi-quarter business plans that enhance customer success. Lead business planning, strategy reviews, and client education initiatives to foster long-term partnerships. Mentor and coach team members to enhance collective expertise, driving improved outcomes for customers. At Google, we believe in empowering businesses with cutting-edge solutions while fostering a collaborative and fun work environment. Join us to shape the future of digital advertising and make a meaningful impact on businesses worldwide. Qualification : Bachelors degree or equivalent practical experience.

Indicia Worldwide is a technology-led, insight-driven communications agency with global production expertise. Why We Exist: Creating New Value At Indicia Worldwide, our philosophy is centered on creating new value. We enhance every step of a brand s journey to market by increasing marketing performance and reducing execution costs. We build mutually beneficial partnerships with our clients and their customers, driven by a balance of efficiency and effectiveness that is pioneering, entrepreneurial, and sustainable. Our substantial investment in technology and data science sets us apart in the marketplace. By leveraging data insights and marketing technology, we can measure and demonstrate the impact of our work, with ROI (Return on Investment) as the most critical metric. We are the only agency that combines creative, data, and technology expertise with production and procurement capabilities to optimize marketing performance and efficiencies. This allows us to help our clients deliver more engaging, cost-effective, and sustainable customer experiences. With a rich heritage across print, creative production, retail, data, digital, and technology, we bring these disciplines together to support global brands with their omnichannel marketing activation needs. We believe our unique proposition has the power to redefine how marketing is activated for clients worldwide now and well into the future. The Result Improved client performance by delivering brand ideas that engage consumers better, faster, and more cost-effectively at every stage of the journey to market. Purpose of the Role: Financial Analyst In this role, you will be responsible for driving financial planning, analysis, and reporting processes. Key responsibilities include: Annual Operating Plan (AOP): Compile and consolidate the AOP, working independently to manage expense planning and coordination with relevant teams and functions. Cost Analysis and Monitoring: Analyze costs vs. budget, forecast, and previous year data (excluding staff costs), providing actionable insights to support decision-making across functions and markets. Monthly Forecasting: Prepare and review monthly forecasts, identifying variances and trends compared to budgets and providing insights for course correction. Variance Analysis and Reporting: Compare monthly results with budgets, forecasts, and prior years, preparing detailed commentary to explain variances. Executive Reporting and Presentations: Develop impactful decks and reports for board meetings and executive leadership discussions. Project Support: Assist with ad hoc projects and initiatives assigned by the manager, ensuring quality and timely delivery. Cross-Functional Collaboration: Work closely with senior stakeholders, executive leadership, client partners, and finance leaders across APAC, gaining exposure in a fast-paced, collaborative environment. Skills, Knowledge, and Experience Required Chartered Accountant (CA) with 2 3 years of experience or MBA/Cost Accountant (ICWA) with 3 5 years of experience Advanced Excel skills (including macros and VBA) and PowerPoint proficiency Strong ability to build financial models, perform sensitivity and scenario analysis, and develop reporting tools/templates Experience presenting analysis and findings at senior management meetings Mindset for Success Quick Thinker: Sharp attention to detail and ability to think on your feet Adaptable and Efficient: Perform well under tight deadlines Exceptional Communicator: Deliver clear and concise updates to stakeholders Key Soft Skills for Success Strong problem-solving abilities Proactive and collaborative approach Enthusiasm for working with diverse teams and stakeholders Ability to work under pressure and accommodate different time zones Role Requirements Working Hours: 9:00 AM to 6:00 PM IST, Monday to Friday; however, the global nature of the business may require flexibility for meetings outside these hours. Location: Hybrid work model based in Malad West, Mumbai. Attendance at the office will be required as needed. We are an equal opportunities employer and are committed to accommodating the needs of all candidates. If you require any adjustments during the interview process, please inform us so we can make the necessary arrangements. Qualification : Chartered Accountant (CA) with 2-3 years of experience