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JPMorgan Quantitative Research - Equity Derivatives Exotics 
United Kingdom, England, London 
345459686

29.01.2025

Job Summary

As a Associate or Vice President within the Quantitative Research, Equity Derivatives Exotics team, you will be responsible for providing modelling solutions to the Equity Derivatives business. Our work combines classical quant finance with modern machine learning techniques to deliver best-in-class models to the trading desk. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.

Job Responsibilities

  • Covering Exotic products, and this by providing modelling approaches to price new payoffs understanding their risks, and rationalizing the limitations of proposed models
  • Providing analysis of their behavior under market scenarios and back testing of hedging strategies
  • Taking initiative and developing pricing prototypes to validate new ideas
  • Implementing advanced models in our quant library and trading/risk platforms, participating in the continuous re-engineering of the platform, carrying-out testing and writing documentation
  • Working closely with traders and Structurers to identify opportunities
  • Leveraging advanced machine learning frameworks and proposing creative ideas to solve classic problems

Required qualifications, capabilities, and skills

  • You demonstrate experience in a derivatives quant role
  • You have experience in a front-office derivatives’ trading environment
  • You demonstrate outstanding analytical and problem-solving skills
  • You demonstrate excellent written and oral communication
  • You demonstrate strong coding skills
  • You have relevant qualifications and deep understanding of derivatives pricing theory and standard models

Preferred qualifications, capabilities, and skills

  • You demonstrate professional Python/C++ development experience
  • You have hands-on experience of Reinforcement Learning