Bloomberg Jobs in Mumbai

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

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

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

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.

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

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.

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.