Quantitative Risk Manager - Equities | $20B Hedge Fund NYC

Job Description

Our client is a leading multi-strategy quantitative investment firm headquartered in New York, managing approximately $20 billion in assets. The firm combines rigorous scientific research, proprietary technology and disciplined risk management across a range of systematic and discretionary-quant strategies spanning global markets. The culture is collaborative, research-driven and highly technical. Risk is a true partner to the investment teams, valued for its analytics and tooling as much as its oversight.

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Quantitative Risk Manager to sit directly alongside its equity traders and portfolio managers. This is a front-office-facing risk seat: you will own the analytics, models and monitoring that shape how the desk sizes, hedges and manages risk. The role blends quantitative modeling, equity derivatives expertise and hands-on Python development. You will set and monitor risk limits, help define the desk's risk appetite, value and price equity derivatives, and build tools the desk uses every day. Success depends on translating complex analysis into clear, actionable guidance for investment professionals.

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Key Responsibilities

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Risk analytics and modeling

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• Build, maintain and enhance risk models for equity portfolios, including factor exposures, VaR/ES, stress testing and scenario analysis
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• Deliver portfolio and position-level analytics on exposures, concentrations, liquidity and P&L attribution
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• Partner with PMs and traders to analyze risk drivers and inform position sizing and hedging decisions
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Risk limits, appetite and monitoring

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• Set, calibrate and maintain risk limits across the equities book (gross/net exposure, factor, sector, single-name, Greeks, liquidity)
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• Help define and articulate the desk's risk appetite framework in partnership with senior risk leadership
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• Monitor positions and exposures in real time and intraday; escalate breaches and emerging risks promptly
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Valuations and equity derivatives

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• Price and value equity derivatives (vanilla and exotic options, variance/volatility products, swaps)
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• Validate pricing models and independently review valuations
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• Analyze volatility surfaces, Greeks and derivative risk across the book
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Desk tooling and ad hoc support

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• Design and build Python-based tools, dashboards and analytics for the trading desk
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• Automate risk reporting and improve the efficiency and scalability of risk processes
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• Respond to ad hoc requests from PMs, traders and senior management, often under tight timelines
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Requirements

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• Advanced degree (MS or PhD) in a STEM field such as Mathematics, Physics, Statistics, Financial Engineering, Computer Science or Engineering
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• 4 - 8 years of experience in quantitative risk, quant research or derivatives pricing at a hedge fund, asset manager or investment bank
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• Strong command of equity derivatives pricing, volatility modeling and the Greeks
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• Solid grounding in portfolio risk methods: factor models, VaR/ES, stress testing and scenario analysis
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• Advanced Python skills (pandas, NumPy, SciPy), with experience building production-quality tools
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• Excellent communication skills; able to explain complex risk concepts clearly to PMs, traders and senior management
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• Experience in a front-office-facing risk role at a multi-strategy or quantitative fund
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• Familiarity with commercial risk systems (e.g., MSCI Barra, Axioma) and market data platforms
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• SQL and experience with large datasets; exposure to C++ or another compiled language
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• Track record of working effectively in a fast-paced, high-accountability trading environment
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