Associate, Market Risk Manager

Cantor Fitzgerald; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Cantor Fitzgerald is seeking a Market Risk Manager in New York to drive AI-enhanced risk management across equities, rates, fixed income, credit, FX, and commodities. You will develop VaR, Stress Loss, and Expected Shortfall measures while embedding AI-driven insights into the risk framework.

The ideal candidate has 7+ years in market risk, CFA/FRM/PRM, and strong coding with Python/R/VBA, plus Bloomberg analytics experience. Collaboration with traders and tech teams is essential.

Qualifications

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

Responsibilities

• Produce daily, weekly, and monthly risk reporting across equities, rates, structured fixed income, credit, FX, and commodities, incorporating AI-enhanced content.
• Develop and enhance risk measures such as VaR, Stress Loss, and Expected Shortfall across trading activities.
• Define, implement, and monitor flags and limits and escalate as appropriate.
• Present risk insights to trading management with AI-assisted visualization and commentary tools.
• 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 monitoring to adaptive, AI-powered surveillance systems capable of handling non-linear exposures and tail risks.

Skills

VaR

Expected Shortfall

Greeks

Monte Carlo

Stress testing

AI in risk

Python

SQL

Excel

NLP

LLMs

VBA

R

Education

Bachelor’s degree in Finance/Math/Stats/Physics/Engineering

CFA

FRM

PRM

Tools

MSCI RiskMetrics

Bloomberg Analytics

Bloomberg API

Python

R

SQL

VBA

Excel

Job description

We are seeking a Market Risk Manager with a particular focus on using AI 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

• 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 escale as appropriate.
• Present risk insights to trading management with clarity, leveraging AI-assisted visualization and commentary tools.
• 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

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