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Posted September 9, 2026

Risk Engineer

Hudson River Trading

Category:Risk

Location:New York

Seniority
Medior
Employment type
Full-time
Salary (per year)
$200k–$300k
Bonus
Yes

Requirements

  • B.S. in Mathematics, Physics, CS, or Statistics; advanced degree a plus
  • Excellent knowledge of linear algebra, applied probability, and statistics
  • Cross-functional communication skills, including the ability to effectively communicate across all levels of an organization

About the role

Hudson River Trading (HRT) is seeking a Risk Engineer to join our Risk team in New York City. In this role, you will focus on building out our risk function and managing all aspects of risk faced by HRT. You will gain exposure to the exciting, fast-paced world of electronic trading while collaborating with exceptionally talented people across all aspects of the business.

This will be a challenging role with a wide mandate spanning the full remit of HRT’s global trading. The ideal candidate is highly motivated to learn new concepts quickly, possesses a solid understanding of the importance of risk management within a trading environment, and is equally comfortable working alone or collaborating as part of a wider team.

Responsibilities

  • Build and enhance in-house factor risk models for various asset classes, with a particular focus on equities
  • Customize vendor market risk models
  • Research and build new models to address trading and risk management challenges
  • Work with risk managers to enhance tail risk estimation for historical and hypothetical scenarios
  • Ingest, evaluate, and transform large data sets relevant to risk and performance analysis
  • Design and implement state-of-the-art performance analytics and risk decomposition applications
  • Work with developers to productionize risk models and risk management tools
  • Enhance and maintain the risk production codebase
  • Communicate with investment teams

What you'll get

  • $200k–$300k base salary
  • a competitive benefits package

Skills

linear algebra · applied probability · statistics · Python · Linux