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Business Overview
Citi's global Prime franchise is establishing a dedicated team in Mumbai — a strategic initiative designed to deepen analytical capacity, accelerate innovation, and bring world-class talent closer to the heart of our global Prime business.
The India team will work directly alongside trading desks, risk management, and senior leadership across HongKong, Singapore, London, and New York.
We are hiring for multiple roles across the Officer level, spanning the following disciplines
In-Business Risk (IBR) — Counterparty and platform risk management across Prime Brokerage, Equity Delta One, and Futures & Derivatives Clearing
Prime / Clearing Intelligence — Data analytics and AI/ML-driven insights for the Prime Intelligence platform
Financial Resource Management (FRM) Analytics — Capital and liquidity optimization; management of RWA, GSIB, NSFR, and LCR metrics
Portfolio Finance & Optimization (PFO) — Financing book management, pricing strategy, and client returns analysis
Desk Strategist — Quantitative modelling and inventory optimization for the D1 / Client Financing trading desk
Prime & FDC Product Developer — Platform innovation and development across the Financing and Clearing platform
Key Responsibilities
Specific responsibilities will vary by role. The following reflects the breadth of work across the team.
First line of defense function mitigating risks introduced by counterparties across Futures, Prime Brokerage, and Equity Delta One business lines
Design, develop, and maintain advanced quantitative models, algorithms, and analytical tools to support trading desks and senior management decision-making
Monitor and strategically manage key regulatory metrics including RWA, GSIB scores, NSFR, and LCR; advise trading desks on capital and liquidity implications
Build and enhance the Prime Intelligence platform — delivering P&L analytics, book colour, client scorecards, and performance benchmarking across Prime Services
Conduct deep-dive data analysis into market data, trading patterns, portfolio characteristics, and inventory movements to identify opportunities for efficiency gains and risk reduction
Develop and backtest sophisticated algorithms for automated inventory management, pricing, and execution
Prepare client returns analysis, assist with pricing financing terms, and monitor key book metrics and profitability drivers
Collaborate cross-functionally with Sales, Trading, Technology, Risk, Treasury, Legal, and Compliance to translate business requirements into technical solutions
Communicate complex analytical findings clearly to both technical and non-technical stakeholders, including senior management, clients, and regulators
Ensure full compliance with applicable policies, regulatory requirements, and Citi's Code of Conduct
Qualifications
Bachelor's or Master's degree (Master's preferred) in a quantitative discipline — Computer Science, Mathematics, Statistics, Financial Engineering, Economics, or a related field
Graduates from top-tier engineering institutions (IITs and similar) are strongly encouraged to apply
CFA certification is a plus for finance-focused roles
Experience
4+ years of experience in financial services, Prime Brokerage, Futures & Derivatives Clearing, Equities, Fixed Income, quantitative trading, or financial resource management
Demonstrated experience in one or more of the following: front office risk management, quantitative analysis, data science, financial resource management, or trading desk strategy
Prior exposure to hedge fund strategies, counterparty risk, or Prime Brokerage platforms is advantageous
Experience engaging with regulators, credit risk teams, or cross-functional stakeholders in a global investment bank is preferred for senior roles
Skills
Financial Systems: Knowledge of Bloomberg, booking systems, and P&L systems
Markets Knowledge: Solid understanding of global financial markets, trading products, and their associated risks; familiarity with equities, fixed income, and derivatives
Futures, Clearing & Prime Brokerage: Familiarity with Prime platforms, asset types, client investment strategies, and Prime client documentation
Regulatory Frameworks: Understanding of Basel III/IV, RWA, NSFR, LCR, and GSIB methodology (FRM and risk-focused roles)
Risk Management: Knowledge of counterparty risk, margin methodology, and credit risk frameworks within a Prime or Secured Financing context
Programming: Proficiency in Python (Pandas, NumPy, SciPy) and/or C++, Java, or R
AI/ML: Experience with machine learning frameworks — scikit-learn, TensorFlow, PyTorch, Keras; familiarity with Generative AI a plus
Data & Databases: Strong SQL skills; experience working with large datasets and distributed computing environments
Visualization: Proficiency in Power BI, Tableau, or Microstrategy
Cloud: Familiarity with AWS, Azure, or GCP is advantageous
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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