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Senior Lead Software Engineer - Python Quant

JPMorganChase

Salary not specified
Dec 17, 2025
New York, NY, US
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JPMorganChase is looking to enhance, build, and deliver top-notch technology products in a secure, stable, and scalable way, and drive significant business impact through technical capabilities and contributions.

Requirements

  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) - Strong expertise in Python. Comfortable with scientific & dataset libraries such as pandas, numpy.
  • Design and implementation of front-office systems for quant trading.
  • Knowledge of data pipelines, market data processing and backtesting workflows.
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines
  • Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
  • Knowledge of machine learning, statistical techniques and related libraries.

Responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Partner closely with research and trading teams to build and support integrated alpha research and backtesting platform.
  • Design and build robust tools and frameworks to support quantitative research and production trading.
  • Design, build and support critical research infrastructure (e.g. backtesting frameworks, strategy containers, high performant and scalable simulation environments, feature and strategy signal stores)
  • Develop interfaces and integration points between Python research environments and Java-based execution systems.
  • Build and support research and trading analytics libraries (e.g. markouts, strategy analytics)
  • Serves as a function-wide subject matter expert in one or more areas of focus

Other

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
  • Ability to tackle design and functionality problems independently with little to no oversight.
  • In-depth knowledge of the financial services industry and their IT systems
  • We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.