Quantitative Risk Engineer Electronic Trading & Factor Models

Madison-Davis

  • New York, NY
  • 30+ days ago
  • $200,000 Per Year
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Skills

  • Algorithmsunmatched
  • Analysis Skillsunmatched
  • Communication Skillsunmatched
  • Data Setsunmatched
  • Electronic Engineeringunmatched
  • Fixed Income Investmentsunmatched
  • Interest Ratesunmatched
  • Leading Edge Technologyunmatched
  • Market Analysisunmatched
  • Performance Analysisunmatched
  • Quantitative Analysisunmatched
  • Research & Development (R&D)unmatched
  • Riskunmatched
  • Risk Analysisunmatched
  • Risk Managementunmatched
  • Risk Modelingunmatched
  • Vendor/Supplier Evaluationunmatched

Description


Title: Quantitative Risk Engineer Electronic Trading & Factor Models

Office Status: Hybrid New York, NY

Base Salary: $200k $300k + Bonus

ABOUT THE ROLE

This is a high-impact Risk Engineer opportunity at one of the world's most sophisticated algorithmic trading firms, offering a rare combination of quantitative model development, risk infrastructure build-out, and cross-asset exposure across equities, fixed income, commodities, and credit. The role carries a wide mandate spanning factor risk model development, tail risk estimation, performance analytics, and production codebase ownership within a fast-paced, intellectually rigorous environment built on scientific rigor and cutting-edge technology. It's an ideal next move for a quantitative analyst who wants to go deep on risk modeling while working alongside some of the sharpest minds in electronic trading.

RESPONSIBILITIES
  • Build and enhance in-house factor risk models across multiple asset classes including interest rates, commodities, credit, and equities
  • Customize and evaluate vendor market risk models;research and develop new models to address evolving trading and risk management challenges
  • Work with risk managers to enhance tail risk estimation for historical and hypothetical stress scenarios
  • Ingest, evaluate, and transform large datasets relevant to risk and performance analysis
  • Design and implement state-of-the-art performance analytics and risk decomposition applications
  • Collaborate with developers to productionize risk models and risk management tools;enhance and maintain the risk production codebase
  • Communicate effectively with investment teams on risk findings, model outputs, and analytical insights across all levels of the organization

Numbers & Facts

LocationNew York, NY

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