AVP, AI-Integrated Risk Management (New York)

Cantor Fitzgerald, with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945.

Cantor is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and for its global distribution platform. Capitalizing on the firm’s financial acumen and technology prowess, Cantor’s portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. Cantor has consistently fueled the growth of original ideas, pioneered new markets, and provided superior service to clients. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations around the world.

As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and solid relationship building. Our structure allows us to respond quickly to client needs, develop solutions that address complex challenges, avoid the limitations of bureaucracy, and attract talented individuals who are driven to succeed.

Role Overview

We are seeking a Market Risk Manager to enhance our existing risk management framework and process. This role sits at the intersection of quantitative finance and applied artificial intelligence, requiring expertise in both domains. You will partner closely with trading desks, technology, and senior leadership to embed AI-driven insights directly into our risk management structure.

Key Responsibilities

Risk Monitoring & Reporting

• Work as part of the market risk team to produce daily, weekly, and monthly risk reporting across equities, rates, structured fixed income, credit, FX, and commodities, incorporating AI to enhance their content and production.
• Develop and enhance risk measures such as VaR, Stress Loss, and Expected Shortfall across the firm’s trading activities.
• Define, implement, and monitor flags and limits and escalate as appropriate.
• Present risk insights to trading management with clarity, leveraging AI-assisted visualization and commentary tools.

Risk Framework & AI Integration

• Work to embed AI and machine learning models in the firm’s risk process to enhance stress testing, VaR, and other risk measurement methodologies.
• Lead the transition from legacy rule-based risk monitoring to adaptive, AI-powered surveillance systems capable of handling non-linear exposures, risks arising from complex structured products, and tail risks.

Required Qualifications

• 2 years in market risk management at a bank, asset manager, or hedge fund
• CFA, FRM, or PRM designation preferred
• Bachelor’s degree in Finance, Mathematics, Statistics, Physics, or Engineering
• Advanced degree in a quantitative discipline
• Deep expertise in risk metrics: VaR, Expected Shortfall, Greeks, scenario/stress analysis, Monte Carlo simulation methodologies
• Experience with LLMs or NLP applied to financial data
• Hands-on experience and expertise in Microsoft Excel, SQL, Bloomberg analytics and API
• Coding experience in VBA, R, and Python; experience with MSCI RiskMetrics

We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited.