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Volatility Risk Analyst - Cross-Asset

Selby JenningsManhattan, NY🇺🇸United StatesPosted 22 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

A leading multi-manager hedge fund is seeking a Volatility Risk Analyst to join its Global Risk Management organization in NYC. This individual will partner closely with Portfolio Managers, Traders, and Risk leadership to provide portfolio construction, hedging, risk management, and optimization advice on complex derivatives portfolios.

This hire will have coverage across multiple asset classes, with a particular focus on volatility strategies, specifically rates, FX, commodities, and credit derivatives trading. This is a unique opportunity to join a highly analytical and commercially oriented team where risk management sits close to the investment process. The role offers broad exposure across rates, FX, commodities, volatility products, options, and structured derivatives while working alongside some of the industry's most sophisticated investment professionals.

Senior risk management in this group are former traders and are ideally looking for someone in a front-office seat to join the risk team. The risk team is expected to have a forward-looking view of markets in order to advise the business.

Responsibilities:
  • Partnering with Portfolio Managers and Traders to understand positioning, risk-taking activity, and evolving market views
  • Developing and enhancing quantitative risk analytics, models, and monitoring tools used by investment and risk teams
  • Identifying emerging market risks and helping drive a forward-looking risk management framework across the platform
  • Analyzing P&L drivers and helping explain portfolio performance across products and asset classes


Qualifications:
  • Master's or PhD degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Finance, or a related quantitative discipline
  • 4+ years of experience in risk management, quantitative analytics, trading, structuring, or quantitative research
  • Strong exposure to derivatives products including options, swaptions, structured derivatives, exotics, or volatility derivatives
  • Experience covering one or more asset classes including Rates, FX, Credit, or Commodities
  • Proficiency in Python and/or SQL with experience building quantitative tools, analytics, or risk frameworks
  • A commercial mindset and genuine interest in markets, portfolio construction, and risk-taking behavior


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