Lead Esoftware Engineer, Java, Algo Trading, Equities Technologies Team

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

Lead eSoftware Engineer for JPMorgan Chase's Electronic Trading Technology team, focusing on developing and enhancing an algorithmic trading platform for Asian markets. The role involves designing, implementing, and supporting trading strategies, ensuring platform robustness, and executing creative software solutions. Requires mastery in Java, understanding of agile methodologies, and experience in the financial services industry, specifically equities trading.

What you'd actually do

  1. Develops, implement, support and maintain a growing benchmark algorithmic trading platform of Asian markets
  2. Contributes significantly to the front office trading team in terms of pre and post-trade analysis and the design of the algorithmic trading strategies.
  3. Designs and build the algorithmic trading strategies and trading platform for multiple business silos while guarantee the robustness of our highly resiliency trading platform.
  4. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  5. Develops secure high-quality production code, and reviews and debugs code written by others

Skills

Required

  • Java
  • Software Engineering
  • System Design
  • Application Development
  • Testing
  • Operational Stability
  • Automation
  • Continuous Delivery
  • Software Development Life Cycle
  • Agile Methodologies
  • CI/CD
  • Application Resiliency
  • Security
  • Financial Services Industry
  • Equities Trading Systems
  • Algorithmic Strategy Development
  • Cloud Native

Nice to have

  • cloud
  • artificial intelligence
  • machine learning

What the JD emphasized

  • Mastery in Java with respect to designing, coding, testing , and software delivery
  • In-depth knowledge of the financial services industry and their IT systems, and equities trading system.
  • Hands-on experience in algorithmic strategy development