R Jobs in Mumbai

Customer-Centric Market Research & Customer Success Internship Location: Mumbai Have you ever wondered what customers truly want and what influences their choice of one brand over another? At ePayLater, we go beyond assumptions. We engage directly with real customers, gather first-hand insights from the market, and convert those insights into meaningful product and business impact. This internship offers a unique opportunity to work at the intersection of fintech, market research, and customer success, giving you direct exposure to retailers, distributors, and small businesses. Your insights will actively contribute to how we build, position, and evolve our products. What You ll Work On Understand Customer Behavior: Analyze merchant needs, payment patterns, and digital credit usage. Identify Market Gaps: Discover unmet needs and areas where current solutions fall short. Competitive Insights: Capture customer perceptions of competitors and identify opportunities for differentiation. Customer Acquisition & Onboarding: Introduce potential customers to ePayLater s offerings and support onboarding. Insight Sharing: Convert on-ground conversations into actionable insights for product, sales, and strategy teams. How You ll Do It Conduct one-on-one field visits with merchants and small businesses. Run quick surveys and in-depth interviews. Map competitor offerings and customer sentiment. Participate in focus group discussions where applicable. Prepare daily reports highlighting insights, challenges, and key learnings. What You ll Gain Hands-on exposure to go-to-market strategy, market research, and sales execution. Deep understanding of customer psychology and B2B decision-making. Opportunity to influence real product and customer experience decisions. Internship certification and performance-based recommendation. A whole new perspective on India s retail ecosystem. B-school students or graduates interested in sales, marketing, market research, or customer strategy. Self-driven individuals comfortable working in dynamic, on-ground environments. Strong communicators who enjoy interacting with people. Curious thinkers who ask the right questions and dig deep for insights.

Analyst FX Risk Management Location: Mumbai Employment Type: Full-time Reporting Structure: Reports to FX Risk Manager at TGS Role Summary The Analyst FX Risk Management is a critical part of the middle office team, responsible for managing foreign exchange exposure across Trading, Finance, and Overheads divisions. The role involves identifying FX risks, executing hedging strategies, and managing derivative settlements to minimize interest rate costs and overdrafts. Key Responsibilities Risk Mitigation: Identify and analyze FX risk across all business divisions; design and implement hedging strategies for new geographies. Trade Execution: Execute FX trades with internal brokers and monitor market trends to identify early signs of risk. Stakeholder Liaison: Collaborate with traders, operations, and the deals desk to assess real-time FX exposures. P&L Management: Accurately allocate hedge P&L to underlying exposures and ensure timely updates of FX performance. Settlements & Liquidity: Coordinate with the derivatives back office for settlements and work with Treasury to manage foreign currency account liquidity. Continuous Improvement: Support reconciliation activities and contribute to the enhancement of risk management systems and processes. Key Relationships Trading Floor & Deals Desk Trade Finance & Operational Treasury Banks, Brokers, and Back Office Qualifications & Skills Education: MBA in Finance, Chartered Accountant (CA), or FRM certification preferred. Experience: 0 2 years in Foreign Exchange markets, interest rates, or cash/liquidity risk management. Technical Skills: Strong proficiency in MS Excel and familiarity with financial systems. Soft Skills: Ability to handle stressful situations under strict deadlines and excellent communication skills. Qualification : MBA in Finance, Chartered Accountant (CA), or FRM certification preferred

Position: Regional Manager - Specifications (West) Experience: 8-12 years Location: Mumbai Employment Type: Full-Time Job Description As the Regional Manager Specifications (West), you will be responsible for driving the specification and approval process for TIKIDAN products across key sectors in the Western region of India. This includes working with consultants, architects, developers, government institutions, and industry key accounts to secure product specifications and approvals. You will play a pivotal role in influencing key decision-makers and ensuring the successful integration of TIKIDAN s solutions into large-scale projects. Key Responsibilities Specification Selling & Target Achievement: Lead all aspects of specification selling, including writing and submitting specifications, to secure product approval across consultants, architects, developers, and industry key accounts. Meet and exceed specification targets in the region. Key Account Management: Manage and grow relationships with government institutions and major industrial sectors such as Railways, Defence, Power, Oil and Gas, and Roads & Highways. Market Opportunity Identification: Identify both short-term and mid-term specification and brand approval opportunities. Analyze market trends and adjust strategies to capitalize on emerging opportunities. Building Relationships with Key Stakeholders: Develop a robust database of consultants and architect offices involved in mega projects by leveraging databases, personal contacts, and industry networking. Product Presentations & Solution Offering: Present the full range of TIKIDAN products and solutions through personal presentations, enhancing the likelihood of callbacks during project design phases. Understand customer requirements and propose tailored solutions. Project Pipeline Management: Maintain an accurate project pipeline using tracking tools to facilitate reporting and ensure seamless communication of key data with internal stakeholders. Collaboration with Sales Team: Monitor specifications throughout the process, ensuring smooth handover to the sales team. Work closely with the sales team to convert specifications into actual sales. Market Intelligence: Continuously gather market intelligence, track competitor activities, and update customer data to maintain a competitive edge in the industry. Branding & Product Promotion: Represent TIKIDAN at industry events, fairs, and conventions where architects and engineers gather. Promote the brand and product solutions through seminars, technical presentations, and networking opportunities. Desired Skills and Qualifications Experience: 8-12 years of experience in specification selling, with a proven track record in the construction, waterproofing, or related industry. Industry Knowledge: Familiarity with key sectors such as Railways, Defence, Power, Oil & Gas, Roads, and Highways, and experience working with government institutions. Client Management: Strong ability to build and nurture relationships with consultants, architects, developers, and institutional clients. Presentation Skills: Expertise in delivering compelling presentations and technical solutions to key stakeholders, including architects and engineers. Analytical Thinking: Ability to analyze market trends, customer needs, and competitor activity, and to develop strategies accordingly. Collaboration: Ability to work effectively across teams, particularly with sales, to ensure the successful conversion of specifications into sales. Networking & Promotion: Ability to represent TIKIDAN at industry events, ensuring the company s presence and increasing brand awareness. This role offers a dynamic opportunity for professionals with a strategic approach to specification selling and a passion for building relationships in the construction and infrastructure sectors. If you have the expertise and drive to influence major projects and be part of a growing brand, we d love to hear from you.

Risk & Control Analyst Location: Mumbai Skill Category: IT / Technology Work Type: Full-Time Department Overview The GCIO function oversees group-wide technology, operations, and data management, supporting Nomura s business strategy and delivering consistent services based on common operating principles. Aligned to key businesses across the group, GCIO operates enterprise-wide functions in risk management, governance, controls, supply chain, and infrastructure. Within GCIO, the Chief Controls Office (CCO) strengthens and protects the organization by enhancing non-financial risk management frameworks. The CCO enables the business to accelerate strategic delivery while improving the ability to dynamically manage risks and demonstrate control effectiveness. The CCO is undergoing a multi-year global transformation, focusing on building the right skills, capabilities, and foundations within its global team. Role Overview We are seeking a Risk & Control Analyst to play a pivotal role in building out the GCIO CCO Governance and Management Information (MI) capability. Reporting to the Controls MI Lead, you will contribute to the design, implementation, and delivery of risk management MI and governance frameworks across the organization. This is a fast-paced, challenging role for a detail-oriented candidate capable of initiative and proactive problem-solving. You will support both strategic MI initiatives and business-as-usual risk reporting for key committees and decision-making forums. Key Responsibilities Support the design, build-out, and management of GCIO CCO Risk Management Governance and MI capability. Deliver and continuously improve business-as-usual MI outputs, including supporting the Group CIO Risk Management Committee and GCIO LT Controls meetings (agenda, process, and MI content). Assist in defining target end-states and transition plans for CCO Governance and MI, and oversee day-to-day execution. Support the design and standardization of the GCIO Control Book, ensuring streamlined and automated production for stakeholder needs. Capture MI requirements, design dashboards, and implement processes to turn designs into actionable outputs. Collaborate with key stakeholders across GCIO and 3LoD to maintain productive working relationships. Contribute to process improvement initiatives to enhance risk management and MI capabilities. Qualifications, Skills & Experience Understanding of control frameworks, risk management governance, and MI in a financial services context. Strong combination of governance, MI, and technical skills (e.g., IT, Information Security, Data Management). Experience with Power BI reporting and dashboard creation. Hands-on experience with Linux, Informatica, and MS SQL databases. ServiceNow Integrated Risk Management (IRM) experience is a plus. Strong analytical and problem-solving skills, adaptable and flexible across multiple CCO services. Experience in MI design, visualization, production processes, and data requirements. Outcome-focused, with ownership and accountability for delivering high-quality outputs on time. Effective communication skills and strong attention to detail. Ability to contribute to continuous improvement initiatives and support strategic direction. You will be part of a global, high-performing team shaping the future of risk management and controls at Nomura. This is a unique opportunity to drive strategic initiatives, deliver impactful MI, and contribute to strengthening organizational controls in a dynamic financial services environment.

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.

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

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: Data Analyst Location: Mumbai, India Division: Data & Analytics / Marketing About the Role As a Data Analyst within the Blenheim Chalcot portfolio and Oakbrook, you will be crucial in driving data-driven insights for our consumer lending business. You will analyze marketing performance across direct and third-party aggregator channels, helping optimize spend and strategy. Your work will involve building and maintaining dashboards (SQL, Power BI), monitoring campaign and product performance, and ensuring channel efficiency. Key Responsibilities Campaign & Channel Performance Analysis Track and analyze marketing campaigns (paid search, social, email, display, aggregators). Measure key conversion metrics: impressions → clicks → applications → approvals → disbursals. Identify underperforming campaigns/channels and recommend improvements. Aggregator Performance Monitoring Monitor lead volume, quality, and conversion rates from aggregators (e.g., Clear Score, Compare the Market). Benchmark aggregator ROI and provide actionable insights for partner management. Product Performance Tracking Analyze application, approval, and disbursal trends by product type. Segment performance by demographics, channel, and credit risk tiers (prime, near-prime, non-prime). Identify opportunities for product/pricing optimization. Dashboard Development & Reporting Design and maintain interactive dashboards using SQL and Power BI. Ensure data accuracy and real-time performance tracking. Present weekly/monthly reports and insights to marketing, finance, and product teams. Customer Journey & Funnel Analysis Analyze drop-off points in the customer journey. Collaborate with CRO and UX teams to improve application flows. Support A/B testing with data analysis. Marketing Data Governance Ensure campaign tagging and data standards across platforms (GA, CRM, ad networks). Collaborate with data engineering on data quality and pipeline improvements. About You Technical Skills: Advanced SQL skills (complex queries, joins, CTEs) on relational databases (Snowflake, Big Query, Redshift). Proficient in Power BI (dashboard design, KPI visualization, DAX calculations). Strong Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, array formulas). Data cleaning and preparation expertise; familiarity with Alteryx or Python/Pandas is a plus. Understanding of UTM tracking, campaign attribution models, and analytics platforms (Google Analytics, Adobe Analytics). Experience with A/B testing and statistical analysis. Familiarity with CRM and marketing platforms (Google Ads, Meta, email/SMS tools). Awareness of GDPR and data governance best practices. Non-Technical Skills: Commercial awareness in lending context (customer acquisition cost, ROI, bad debt rates). Ability to translate data insights for non-technical stakeholders (marketing, finance, compliance). Strong attention to detail and problem-solving mindset. Excellent time management balancing regular reporting and ad-hoc analysis. Curious and proactive in identifying trends and opportunities. Collaborative working style across marketing, product, risk, and data teams. About Blenheim Chalcot & Oakbrook Blenheim Chalcot is a world-leading digital venture builder with over 26 years of experience creating disruptive businesses in FinTech, EdTech, GovTech, and more. Our India team plays a vital role in our success, fostering innovation and entrepreneurship since 2014. Oakbrook, a fast-scaling FinTech venture in our portfolio, leverages advanced analytics and technology to provide personalized consumer lending solutions. We aim to simplify borrowing with fair, data-driven credit access tailored to individual customers. Join the world s leading digital venture builder. Work with a diverse, talented team in a culture of continuous learning and innovation. Opportunity to work on Gen AI-enabled cutting-edge solutions. A fun, open, and cricket-enthusiast environment (home of Rajasthan Royals IPL team!). 24 days annual leave + 10 public holidays. Private medical insurance for you and your family & life insurance coverage. Our Commitment We value diversity and inclusion, fostering a culture where everyone s skills and talents can thrive. We recruit, develop, and promote based on merit and competence, driven by curiosity and collaboration. Join us to make an impact in a data-driven, fast-paced environment.

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.

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 Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time Your Future Role at QRT As a Quantitative Researcher, your primary objective will be to develop high-quality predictive signals by analyzing large and diverse datasets to identify statistical patterns and trading opportunities. You will collaborate closely with fellow researchers to share methodologies, data sets, and results, contributing to the continuous improvement of QRT s global execution platform. Monitoring and refining model performance over time will be key to maintaining the effectiveness of your strategies. Key Responsibilities Develop and validate predictive signals using advanced quantitative techniques. Analyze large datasets across multiple time frames to uncover meaningful patterns and opportunities. Collaborate with other researchers to share insights, methodologies, and datasets. Implement trading signals and integrate relevant datasets within QRT s execution platform. Continuously monitor signal behavior and model performance, making improvements as needed. Your Present Skillset Advanced degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Engineering, or a related field. Proficiency in at least one programming language commonly used in quantitative research (e.g., Python, R, Matlab, C++, C#). Strong foundation in statistics, machine learning, NLP, or AI techniques is an advantage. Experience working with large datasets and conducting analysis across multiple time frames is a plus. Ability to multitask effectively in a fast-paced environment while maintaining attention to detail. Intellectual curiosity and a passion for solving complex problems by exploring new data sources and innovative methods. Capacity to work autonomously while contributing positively within a collaborative team environment.

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 Title: Senior Analyst Insights & Analysis Location: Mumbai Company: DGS India About the Role As a Senior Analyst, you will deliver insightful analysis aligned with client business goals, manage client communications, and lead junior team members to exceed performance targets. Key Responsibilities Understand client needs and act as the primary interface between clients and internal teams, ensuring clear communication. Address questionnaire-related client issues and suggest effective solutions. Use market research tools and programming languages to design surveys and deliver high-quality data tables. Independently review and execute projects according to guidelines and tools. Assign tasks to junior team members and support them in survey programming. Maintain work schedules and project plans for timely delivery.

Job Title: Associate Analyst Insights & Analysis Location: Mumbai About the Role As an Associate Analyst, you will support the delivery of data analysis aligned with client business objectives. You will work closely with clients and internal teams to ensure high-quality execution of research projects and exceed performance targets. Key Responsibilities Understand client needs and maintain clear, effective communication between clients and internal teams. Discuss questionnaire-related issues with clients and propose practical solutions. Use specialized market research tools and programming languages to design surveys and deliver data tables that meet client requirements with quality and efficiency. Review project requirements and execute tasks under the guidance of senior team members, following established guidelines and using relevant tools and systems. Create and adhere to work allocation schedules and project plans to ensure timely delivery.

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

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business, Representing VOC and creating awareness of all your portfolio internally and externally. You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients. Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win. Introduce new solutions and thought leadership pieces to the team Develop and drive continuous though leadership agenda and participate in external forums. Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level. Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration, cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan review, adjust with vertical leaders as well partnering with Regional Qualitative Practice. Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners. Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements. Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business. Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis. Own client-level annual operational (OP) planning inputs with the team at the account/geo level. Create sales reports and provide feedback to SA&I India leader. Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines. Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary. Ensure NIQ GDF / SDF fund usage where applicable. Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes. Voice of client Maintain & develop the commercial relationship to clients. Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader. Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships. Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals. Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders. Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual. Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners. People management Recruit and hire Qual Research staff as the case may be. Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience. Setting their targets and goals and guiding them on how to meet and exceed their KPI. Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team. Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on. Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accounta...

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

Role: Manager - Analytics (Debt Management) Function/Department: Collections Experience: 5-10 Years Education: Graduation: B.Sc, B.Tech, BCA, B.Com, BBA Post-Graduation: MBA, PGDM Job Purpose: We are looking for a Manager - Analytics (Debt Management) to drive data-driven decision-making in our collections process. This role will focus on portfolio analytics, delinquency tracking, and performance optimization to enhance debt recovery strategies. The ideal candidate will leverage data insights to improve efficiency, ensure compliance, and support strategic initiatives within the Debt Management function. Key Responsibilities: Debt Portfolio Analysis & Performance Tracking: Monitor and analyze delinquency trends across buckets and DPD (Days Past Due). Develop predictive models and data-driven strategies to enhance debt recovery rates. Track collection performance and identify gaps or improvement opportunities. Collection Strategy Optimization: Define data-backed segmentation strategies to improve customer engagement and recovery. Optimize collection strategies by analyzing past trends, customer behavior, and repayment patterns. Implement early warning systems to prevent accounts from slipping into default. MIS & Reporting: Design and maintain MIS reports for performance tracking, agency efficiency, and collection outcomes. Generate and present insights-based reports for senior management decision-making. Automate reporting processes to enhance operational efficiency. Stakeholder Collaboration & Compliance: Work closely with collection teams, legal teams, and external agencies to improve recovery strategies. Ensure compliance with regulatory requirements in debt management analytics. Provide analytical support for policy and process enhancements within the collections framework. Preferred Skills & Attributes: Strong expertise in data analytics, predictive modeling, and statistical techniques. Proficiency in SQL, Python, R, Tableau, Power BI, or other data visualization tools. Experience in credit risk management, collections analytics, or debt recovery strategies. Strong understanding of regulatory guidelines and compliance frameworks in banking collections. Ability to work cross-functionally and drive actionable insights for business growth. Impactful role in shaping data-driven debt management strategies. Work in a fast-paced, analytical, and results-oriented environment. Opportunities for professional growth in a leading financial institution. If you are passionate about analytics, data-driven decision-making, and optimizing debt management, we invite you to apply and be part of our dynamic team! Qualification : B.Sc, B.Tech, BCA, B.Com, BBA