Quantitative Trading & Research - Automated Trading Strategies - Rates - Analyst or Associate

JPMorgan Chase JPMorgan Chase · Banking · LONDON, LONDON, United Kingdom · Commercial & Investment Bank

Quantitative trading role focused on building systematic trading strategies using AI/ML techniques for pricing, risk management, and execution in Rates markets. Involves analyzing large datasets, back testing strategies, expanding modeling tools, and maintaining trading software systems.

What you'd actually do

  1. Analyze large and complex datasets to identify patterns and revenue opportunities
  2. Conduct back testing and assess pricing, risk management, and execution strategies, with a focus on leveraging machine learning models
  3. Expand the group’s library of modeling, analytics, and automation tools
  4. Review trading performance and make data-driven decisions, utilizing statistical and machine learning methods
  5. Maintain and improve trading software systems and tools

Skills

Required

  • Advanced Degree in computer science, math, physics, engineering, or other quantitative fields
  • Relevant full-time experience
  • Ability to demonstrate strong programming skills in C++/Java or other object-oriented languages
  • Strong knowledge of statistics and machine learning
  • Attention to detail, adaptable, driven, and collaborative
  • Demonstrate interest in markets, systematic trading

Nice to have

  • Ability to understand and map data flows across applications and data sources
  • Prior experience in Rates markets (cash or swaps)
  • Knowledge of order types, L2 market data, and central limit order books
  • Experience with KDB+/q

What the JD emphasized

  • advanced AI and machine learning techniques
  • leveraging machine learning models
  • statistical and machine learning methods

Other signals

  • leverages advanced AI and machine learning techniques
  • building of systematic trading strategies using quantitative, AI, and machine learning approaches
  • leveraging machine learning models