Quantitative Jobs in Mumbai

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.

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

Job 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...

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.

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

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.

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.

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.

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.

GM-Research Analyst Location: Mumbai Skill Category: Global Markets Work Type: Full-Time Company Overview Nomura is an Asia-headquartered financial services group with a global network spanning over 30 countries. The firm connects markets East & West and serves individuals, institutions, corporates, and governments through Retail, Asset Management, Wholesale (Global Markets and Investment Banking), and Merchant Banking divisions. Founded in 1925, Nomura is built on a tradition of disciplined entrepreneurship and delivers clients innovative solutions and considered thought leadership. Nomura Services India (Powai) supports global operations in trading, research, IT, financial control, operations, risk management, and legal support. Powai is critical to Nomura s global expansion and operational excellence. Division Overview The Global Markets Division handles client transactions for financial institutions, corporates, governments, and investment funds worldwide. It trades in fixed income, equity securities, currencies, interest rates, and credit products, including cash, derivatives, and structured products. Nomura Research provides high-quality intellectual capital, covering Company Analysis, Quantitative Research, Corporate Access, and Equity Strategy. The India Equity Research team (Powai, Mumbai) is part of the Global Research Division. It focuses on fundamental research of companies and equity strategy research across Asia. The team aims to be a top-3 provider of research for the firm s key institutional and hedge fund clients. Position Specifications Corporate Title: Analyst Functional Title: Analyst Experience: 1 3 years Qualification: Degree in Finance / CA / MBA or Engineering from a reputed institute. CFA is a plus. Role & Responsibilities Support senior analysts in India Equity Research team. Build and maintain earnings and valuation models based on company financial statements. Assist in initiating coverage on companies in new and emerging sectors. Track and report news/events on coverage names; maintain industry/company databases. Contribute to writing research reports or sections thereof. Build marketing presentations under senior analyst guidance. Interact with internal stakeholders such as Nomura sales & traders. Monitor regional and global news flow impacting covered equities. Gain knowledge of financial market workings, contributing to professional growth. Key Skills & Competencies Strong understanding of accounting, financial statement analysis, and security valuation. Excellent academic record and analytical skills. Strong communication skills (written and oral) with attention to detail. Understanding of equity markets and ability to formulate logical views. Ability to work under pressure, multitask, and meet deadlines. Advanced proficiency in MS Excel and PowerPoint; Bloomberg experience is advantageous. Research writing skills are a plus. Why Join Nomura This role provides exposure to India equity markets, hands-on experience in fundamental research, and the opportunity to work with a globally integrated research team. Qualification : Degree in Finance / CA / MBA or Engineering from a reputed institute

Job Title: Market Development Representative Location: Mumbai Company: TraceLink Experience: 2 6 Years Company Overview: At TraceLink, our mission is simple yet powerful protect patients by digitizing the pharmaceutical supply chain. Since our founding in 2009, we have grown to 8 global offices, over 800 employees, and serve more than 1,300 customers across 60+ countries. Our cloud-based Opus Platform and innovative applications like MINT are transforming how the life sciences industry collaborates, enhancing visibility, compliance, and decision-making across the supply network. Recognized as an industry leader by Gartner, IDC, and as a top workplace by Comparably, TraceLink continues to shape the future of pharmaceutical supply chain connectivity. Position Overview: We are seeking motivated and detail-oriented Market Development Representatives (MDRs) to join our Mumbai-based APAC team. As an MDR, you will play a critical role in identifying and qualifying business opportunities, researching target accounts, and working closely with Sales, Business Management, and Marketing to drive growth across the region. Key Responsibilities: Conduct in-depth market research and gather intelligence on key customer and prospect accounts using public and private data sources Qualify and prioritize inbound leads, and identify high-value accounts and personas for focused engagement Monitor news, industry updates, and databases to enrich account and contact intelligence Develop and execute personalized outreach strategies using email, social media, and other digital channels Rapidly follow up on marketing campaigns and maintain comprehensive account intelligence briefs to support Sales and Account Managers Collaborate with Managers, Sales, and AMs to refine target account lists, messaging, and outreach strategies Work with cross-functional teams (Finance, Marketing, Sales Operations, Business Management) to cleanse, enrich, and maintain account data integrity Maintain detailed records of activities and progress in Salesforce, and report on both qualitative and quantitative KPIs weekly Partner with internal stakeholders to align on business goals and optimize lead generation efforts Qualifications: 2 6 years of experience in Market Development, Business Development, or related roles Proven ability to research, qualify, and act on business opportunities Bachelor s degree (BA/BS) or equivalent Experience with Salesforce.com, Marketo, or similar CRM/marketing tools Proficiency in MS Office (Excel, Outlook, PowerPoint, Word) Excellent verbal and written communication skills with a professional and empathetic tone Ability to work independently, manage multiple priorities, and thrive in a fast-paced, international, startup-like environment Strong team collaboration skills with a track record of working effectively across departments If you're passionate about driving growth, love diving into research and data, and thrive in high-energy, mission-driven environments TraceLink wants to hear from you. Qualification : Bachelors degree (BA/BS) or equivalent

Assistant Business Manager SEO Location: Mumbai Experience: 2 4 Years Education: Graduate (Any discipline) Employment Type: Full-Time About the Role We re looking for an enthusiastic and detail-oriented Assistant Business Manager with hands-on experience in SEO and digital marketing analytics. You ll play a crucial role in driving organic growth for client websites, delivering impactful SEO strategies, and ensuring data-driven decision-making through regular performance analysis. Key Responsibilities Develop and implement detailed SEO recommendations for assigned client websites Conduct comprehensive SEO audits to ensure content and structure compliance with current best practices Monitor timelines, deliverables, and ensure commitments are met for client projects Create and deliver monthly performance reports for clients, offering insights and action plans Stay up to date with the latest SEO trends, Google algorithm updates, and industry developments Work on Google Ads (AdWords) campaigns to support paid marketing efforts when needed Analyze quantitative and qualitative data using web analytics tools (such as Google Analytics) to guide strategic decisions Translate analytics findings into actionable, performance-driven SEO plans Requirements 2 4 years of experience in SEO, digital marketing, or a related field Strong understanding of both on-page and off-page SEO practices Hands-on experience with SEO tools (e.g., Google Search Console, SEMrush, Ahrefs, Screaming Frog) Working knowledge of Google Ads and campaign management Proficiency in using Google Analytics and other web analytics tools Ability to analyze data, identify trends, and translate them into strategy Strong written and verbal communication skills Highly organized, proactive, and capable of managing multiple projects simultaneously Preferred Qualities Self-motivated and results-driven mindset Passion for digital marketing and search engine technologies Ability to work collaboratively across teams and with external stakeholders Strong attention to detail and time management If you re passionate about SEO and want to be part of a dynamic team driving digital growth we d love to hear from you! Qualification : Graduate (Any discipline)

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

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.

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.