Quantitative Trading & Research - Etrading - Executive Director

JPMorgan Chase JPMorgan Chase · Banking · NY · Commercial & Investment Bank

The Quantitative Trading & Research (QTR) Team designs and implements trading platforms to integrate client solutions across various functions. This team contributes to the design and implementation of the algorithmic trading platforms where they integrate quantitative research and data analytics for client solutions across various functions in eTrading. The role involves applying optimization techniques to enhance trade scheduling for both single stocks and portfolio trading in the algo engine, collaborating with researchers, and supporting diagnosis of trading decisions.

What you'd actually do

  1. Solve and implement numerical algorithms that address the optimization challenges in trade scheduling for multi-period single stock and portfolio products
  2. Build robust algorithms within the production platform which will involve collaborating closely with our technology partners to integrate and deliver optimization solutions within the algo trading engine
  3. Support diagnosis of trading decisions by explaining model and algorithm behavior, conducting scenario analyses, and developing quantitative tools and data analytics.
  4. Validate production implementations for fidelity with the original research specifications.
  5. Collaborate with quant researchers and trading desks to refine models and strategies that enhance our trading performance

Skills

Required

  • Masters in STEM subject such as computer science, engineering, mathematics/statistics, physics
  • 8 years of experience in position(s) with similar responsibilities/technologies/business area
  • Experience with optimization techniques relevant to trading strategies
  • Experience coding in Java or C++
  • Experience working on algorithmic trading platform
  • Strong analytical, quantitative, and problem-solving skills
  • Strong written and verbal communication skills, with the ability to communicate well with business users and technology teams

Nice to have

  • PhD in STEM subject or independent research experience
  • 10+ years preferred experience in position(s) with similar responsibilities/technologies area
  • Experience with stochastic control, stochastic/numerical optimization techniques relevant to single stock or portfolio trading strategies
  • Experience with writing production grade implementations for trading systems in Java/C++
  • Experience with Python, AWS and/or other database/data processing technologies
  • Experience with q/kdb or similar
  • Knowledge of cash equity markets and microstructure

What the JD emphasized

  • 8 years of experience
  • Masters in STEM subject
  • Experience with optimization techniques relevant to trading strategies
  • Experience coding in Java or C++
  • Experience working on algorithmic trading platform