Investment Research Jobs in Mumbai

CHESS/ESG Data Analyst Location: Mumbai Employment Type: Full-time Reporting To: Global Head of ESG Reporting & CHESS Systems Role Summary The CHESS/ESG Data Analyst is responsible for managing, validating, and supporting ESG and CHESS data across all operating companies. This role ensures data integrity, supports assurance readiness, and drives digital optimization for ESG reporting, acting as the operational link between site teams and Group Sustainability. Key Responsibilities 1. Data Collection and Validation Coordinate and track ESG/CHESS data submissions from operating companies. Validate inputs for accuracy and compliance with Group data standards. Manage version control and evidence logs to ensure auditability. Resolve data gaps and anomalies by following up with specific sites and functions. 2. System Management and Analytics Provide user administration and troubleshooting support for Intelex. Develop automated dashboards and visualizations using Qlik Sense or Power BI. Contribute to system enhancements and the integration of internal data solutions. Support automation pilots and reporting enhancements to drive digital maturity. 3. Assurance and Compliance Support queries from external auditors with precise data extracts and documentation. Maintain organized, traceable evidence files for key ESG metrics. Coordinate the completion and validation of external ESG questionnaires. 4. Stakeholder Engagement Build collaborative relationships with divisional CHESS leads and functional teams. Serve as the primary point of contact for operational data queries and user assistance. Support training sessions to improve data ownership across the organization. Qualifications & Experience Experience: 3 6 years in data coordination, ESG reporting, or management systems. Technical Skills: Experience using Intelex is required; knowledge of Qlik Sense or Power BI is highly desirable. Core Competencies: Strong attention to detail, documentation discipline, and the ability to manage global deadlines. Role Impact Ensures traceable data to support global reporting and assurance. Strengthens the operational foundation of sustainability data systems. Improves process efficiency through system optimization.

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.

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

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.

C++ Software Engineer Low Latency Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a leading global quantitative and systematic investment manager, active across all liquid asset classes. We are driven by data, powered by technology, and rooted in scientific thinking. Our interdisciplinary teams of technologists, researchers, and traders collaborate to tackle some of the most complex challenges in finance, pushing the boundaries of innovation to deliver exceptional returns for our investors. Your Role at QRT As a Senior C++ Low-Latency Developer, you will play a critical role in building, optimizing, and maintaining the core infrastructure that powers QRT s global trading strategies. You will be working at the intersection of cutting-edge software engineering and financial systems, developing high-performance, low-latency trading platforms. Key Responsibilities Design, develop, and optimize ultra-low-latency software components and trading systems. Build and maintain execution gateways, exchange simulators, and core infrastructure for trading and backtesting. Implement multithreaded and distributed systems optimized for speed and efficiency. Collaborate closely with researchers, traders, and systems teams to deliver innovative, scalable solutions. Ensure top-tier system reliability, maintainability, and performance in high-stakes environments. Contribute to architectural discussions, code reviews, and best practices for development processes. Required Experience & Skills Experience: Minimum 7+ years of experience in C++ development focused on low-latency systems. Hands-on expertise in C++11/14/17, STL, and Boost, specifically for performance-critical Linux applications. System Knowledge: Strong understanding of Linux internals, x86_64 architecture, CPU cache behavior, and memory management. Proficiency in designing and optimizing multithreaded, real-time, and distributed systems. Networking & Optimization: Deep knowledge of networking protocols, socket programming, and low-level latency tuning techniques. Desirable: Prior experience in electronic trading systems, market data handling, or exchange connectivity is a strong plus. Familiarity with continuous integration/delivery and automated testing in a high-performance environment. Soft Skills & Team Culture Strong analytical and problem-solving mindset with a keen attention to detail. Proven ability to work collaboratively in a globally distributed, high-performing engineering team. Clear and concise communication skills both written and verbal. What QRT Offers Opportunity to work on high-impact systems in one of the world s most competitive domains. Access to state-of-the-art infrastructure and datasets. A collaborative, innovation-driven environment with support for continuous learning. Programs to promote wellness, work-life balance, and professional growth. An inclusive and diverse work culture where your contributions truly matter.

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.

Infrastructure Support Analyst - AWS 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 worldwide. We are a technology- and data-driven firm applying a scientific approach to investing. Our culture of collaboration and innovation empowers us to solve complex challenges and deliver superior results for our investors. Role Overview As an Infrastructure Support Analyst (AWS), you will play a critical role in maintaining, supporting, and optimizing QRT s cloud infrastructure. You will work closely with trading, research, and business teams to ensure reliable and scalable cloud services that underpin our technology platform. Key Responsibilities Cloud Infrastructure Management: Design, build, and support cloud-based services primarily on AWS to enable robust trading, research, and business operations. Cross-Team Collaboration: Partner with traders, researchers, and business stakeholders to drive cloud adoption and resolve infrastructure-related challenges. Cloud-First Problem Solving: Implement scalable, secure, and efficient solutions with a cloud-first mindset. Support Critical Infrastructure: Maintain essential systems supporting research technology, trading platforms, market execution, and data processing pipelines. Required Skills & Experience Minimum 2 years of hands-on experience with AWS, including core services such as EC2, S3, VPC, IAM, and Lambda. Strong scripting ability in Python and Bash to automate cloud operations and infrastructure tasks. Familiarity with containerization and orchestration tools like Docker, ECS, and Kubernetes. Experience with configuration management and infrastructure as code tools such as Ansible and Terraform. Working knowledge of Linux and Windows operating systems. Passion for infrastructure engineering and platform support in fast-paced environments. Excellent problem-solving aptitude combined with strong business analytics skills. Preferred Qualifications Certifications such as AWS Certified Solutions Architect, AWS SysOps Administrator, or Linux certifications are a plus. Prior experience supporting infrastructure in trading or financial services environments is advantageous. Opportunity to work with cutting-edge cloud technologies in a high-impact quantitative finance setting. Collaborative and inclusive work culture emphasizing innovation and teamwork. Professional growth and continuous learning opportunities. Competitive salary and comprehensive benefits. Initiatives promoting work-life balance and employee well-being.

Infrastructure Support Engineer - AWS 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 worldwide. We combine data, research, technology, and trading expertise to solve complex challenges through a scientific investment approach. Our culture of innovation and collaboration drives us to deliver high-quality returns for our investors. Role Overview As an Infrastructure Support Engineer (AWS), you will be instrumental in maintaining, optimizing, and securing QRT s cloud infrastructure. You will collaborate closely with development teams, DevOps, and system administrators to ensure the seamless operation of cloud-based applications and services critical to business success. Key Responsibilities Maintain a highly available, scalable, and secure AWS cloud infrastructure. Diagnose and resolve complex AWS infrastructure issues efficiently and proactively. Develop automation scripts using Terraform, CloudFormation, and other infrastructure-as-code tools. Monitor cloud infrastructure performance and optimize cost-effectiveness. Collaborate with development teams to support deployment and operation of applications on AWS. Evaluate and recommend emerging cloud technologies to enhance reliability, scalability, and security. Required Skills & Experience Extensive hands-on experience with AWS services including EC2, S3, VPC, IAM, CloudWatch, and others. Proficiency in scripting languages such as Python and Bash for automation and troubleshooting. Practical experience with configuration management and IaC tools like Ansible and Terraform. Familiarity with containerization and orchestration technologies such as Docker, ECS, and Kubernetes. Strong problem-solving skills with the ability to diagnose software errors, configuration issues, and incidents independently. Experience working within Agile development environments. Solid background in administering and troubleshooting Linux and Windows operating systems. A dynamic work environment driven by innovation and collaboration. Opportunities to work on cutting-edge cloud infrastructure in a quantitative finance setting. Professional development, certifications, and continuous learning support. Competitive compensation and comprehensive benefits. Commitment to work-life balance and employee well-being. Equal Opportunity Statement QRT is an equal opportunity employer. We embrace diversity and empower employees to work openly and respectfully to achieve collective success. Our initiatives promote professional achievement alongside a healthy work-life balance.

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.

Job Description: We are looking for a Murex Back Office Specialist with 3 to 7 years of experience, specializing in back-office processes and handling accounting issues. The ideal candidate will have a strong understanding of the Murex platform, particularly the Back Office (BO) stream, and possess expertise in managing post-trade processes, deal validation, nostro settlements, and accounting. As a Murex Back Office Specialist, you will be responsible for supporting key back-office functions, ensuring accurate deal validation, cashflow monitoring, settlement processing, and managing accounting configurations in the Murex platform. Responsibilities: Back Office & Accounting Management: Handle and resolve back-office and accounting issues, including managing change requests. Support with workflow handling, OSP rights, and usage for different asset classes. Business Requirements & Documentation: Prepare business requirement documents and manage developers for changes. Design layouts and pricing templates as per business requirements. Testing & Issue Resolution: Conduct test case executions, manage user testing, and implement system changes. Troubleshoot and debug issues, providing clear explanations to stakeholders. Configuration & Post-Trade Processing: Develop and configure OSP, settlement instructions, and accounting configurations for various products. Oversee deal validation, cashflow position monitoring, and nostro settlements. Reporting & Documentation: Generate reports and leverage OSP, static data, and deal bookings for testing and issue resolution. Manage confirmation and settlement documents, ensuring they are properly configured. Technical Skills & Qualifications: Capital Markets Knowledge: Strong understanding of capital markets and the trade life cycle. Murex BO Stream Knowledge: Hands-on experience with the Murex BO stream, especially in deal validation, cashflow position monitoring, nostro settlements, accounting, and OSP handling. SQL & Mx-Excel: Proficiency in SQL and Mx-Excel for testing, troubleshooting, and reporting. Post-Trade Rules & Configuration: Understanding of post-trade rules, document generation, and Swift/RTGS settlements in Murex. Asset Classes: Exposure to major asset classes and an understanding of how Murex handles these processes. Experience: 3 to 7 years of hands-on experience working with Murex in back-office processes. Proficiency in settlements, accounting, and configuration management in Murex. Experience with OSP, settlement instructions, and accounting configurations for various products. Synechron s Diversity & Inclusion Statement: Diversity and Inclusion are integral to Synechron's culture. We foster an environment where everyone is respected and valued. As an equal-opportunity employer, we encourage applicants from all backgrounds to apply. We are committed to ensuring our workforce is diverse, offering flexible work arrangements, internal mobility, and opportunities for development.

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

Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.

About MSCI MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI powers better investment decisions by helping clients understand key drivers of risk and return. We deliver industry-leading research-enhanced solutions that empower clients to improve transparency across their investment processes. Job Description We are seeking a Full Stack Java Developer to join our dynamic software development team in Mumbai. The selected candidate will have the opportunity to design, build, and maintain cutting-edge data management solutions for Corporate Events and Dividends, with a strong emphasis on technical excellence and business acumen. Your Team Responsibilities Core Java Development: Write and maintain robust, high-performance Java applications using the Spring framework. Relational Database Expertise: Work with Oracle databases, design complex SQL queries, and optimize performance to process large volumes of data that support critical business processes. Business Acumen: Leverage a strong understanding of financial concepts, particularly reference data related to equities and other asset classes. Web Development: Implement web interfaces using Typescript and frameworks like Angular, React, or Vue. Technical Leadership: Lead discussions with technical experts and business stakeholders, driving solutions that align with business goals. Concurrent Systems: Work in a multi-threaded environment, addressing potential issues related to concurrency and scalability. Your Key Responsibilities Independent & Team Work: Collaborate with global IT and business teams, taking ownership of projects and working independently when required. Multi-threaded Application Development: Develop scalable, multi-threaded enterprise applications that handle large-scale, concurrent data processing. Database Performance: Use JDBC, SQL tuning, and stored procedures to enhance database performance and handle complex data queries. System Design: Design and develop systems with in-depth knowledge of Java memory model, garbage collection, and data structures. Web Interface Design: Create user-friendly interfaces using Typescript and modern frontend frameworks (Angular, React, or Vue). Cloud Exposure: Work with Cloud technologies (Azure / AWS) to support scalability and modernize system architecture. Skills and Experience That Will Help You Excel 1. Java Development: At least 7 years of hands-on experience in Java, including object-oriented design and multi-threaded development. Strong expertise with Spring, JMS, and core Java technologies. 2. Relational Database Expertise: Deep experience with Oracle databases, including writing and optimizing complex SQL queries and stored procedures. Knowledge of database performance tuning techniques and best practices. 3. Frontend Development: Proficient in Typescript and at least one of the following frontend frameworks: React, Vue, or Angular. 4. System Design & Performance: Expertise in designing scalable systems and handling Java memory model, concurrent data structures, and garbage collection. Solid understanding of RESTful APIs and modern authentication protocols. 5. Cloud & Infrastructure: Familiarity with Azure or AWS technologies. 6. Additional Skills: Experience working in a Unix environment. Strong sense of ownership, and ability to collaborate and lead technical discussions within a diverse, global team. What We Offer Compensation & Benefits: Competitive compensation, comprehensive employee benefits tailored to your location, and a focus on your financial, health, and overall well-being. Flexible Working: Enjoy flexible working arrangements, advanced technology, and collaborative workspaces. Learning & Development: Access to Learning@MSCI, LinkedIn Learning Pro, and other tailored learning opportunities for continuous growth. Career Growth: Multi-directional career paths, offering internal mobility and professional development. Inclusive Culture: A workplace that embraces diversity and inclusion with access to employee resource groups such as Pride & Allies, Women in Tech, and Climate Action Network. Global Network: Work alongside a talented network of colleagues across the globe, contributing to impactful solutions. Equal Opportunity MSCI is an equal opportunity employer committed to diversifying its workforce. We provide reasonable accommodations for individuals with disabilities during the recruitment process and ensure a workplace free of discrimination.