Enterprise Risk Associate

Schonfeld • New York, NY

4h • $150,000 - $180,000

About The Position

We are seeking an exceptionally talented individual to join our risk team to be a key member focused on risk and investment research in support of senior leadership in making capital allocation and firm risk management decisions. A successful candidate will help to build and maintain analytical models used to gain insights into risk and alpha drivers of our portfolios, as well as communicate those insights to senior management.

Requirements

• 5-10 years directly managing option or volatility risk at a hedge fund, bank, or market-maker
• Deep practical understanding of surface construction and Greeks.
• Strong quantitative background: degree in Math, Physics, Engineering, Finance, or similar.
• Comfortable with stochastic vol models (Heston, SABR) and Monte Carlo.
• Proficiency in Python (Pandas/NumPy), SQL, and visualization tools.
• A strong track record of working independently to solve business problems
• The ability to simplify and present complex topics and influence decision outcomes

Nice To Haves

• Experience wiring analytics into real-time dashboards a plus.
• Familiarity with risk engines (e.g., Bloomberg MARS, Axioma, Risk Metrics, Vola Dynamic, etc.) and market data feeds (OPRA, Refinitiv Tick).

Responsibilities

• Own day-to-day risk oversight for the firm’s global equity volatility trading ‑ spanning single-name options, index vol, dispersion, variance swaps, and structured products across all regions.
• Independently monitor and explain P&L and risk moves: Greeks, vega buckets, term structure, skew, and cross-gamma exposures. Escalate anomalies or concentrations promptly.
• Design, calibrate, and maintain volatility-specific risk limits (spot/vol shocks, jump-to-default, extreme skew) in partnership with Portfolio Managers and Senior Management.
• Produce intraday and EOD risk commentary that translates complex option dynamics into actionable messages for senior investment, treasury, and executive teams.
• Stress-test portfolios under regime-shift scenarios (vol surface repricing, liquidity squeezes, tail gaps); propose hedging or capital-allocation adjustments.
• Collaborate with Quant, Technology, and Data teams to enhance VaR / SVaR, scenario analytics, intraday limit alerting, and real-time surface quality checks.
• Represent Risk in daily investment huddles, weekly PM read-outs, and quarterly Risk Committee, articulating volatility themes that may impact cross-asset books.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees