Equities Prime Services, Vice President

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 Hong Kong, 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

• 8+ 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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