Lead Software Engineer, Python / Quant Developer / Quant Research

What you'll do

• Develop and maintain high-quality, secure production code using Python.
• Build reusable Python Quant libraries to standardize research-to-production patterns.
• Partner with Quant Research on model development and validation workflows.
• Review and debug code written by other team members to ensure quality.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices for code review and testing.
• Identify and automate the remediation of recurring issues to improve operational stability.
• Lead evaluation sessions with external vendors and internal teams to assess architectural designs.
• Apply full Software Development Life Cycle (SDLC) knowledge to deliver scalable technology products.

What we're looking for

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Strong experience with Python coding.
• Experience in financial services across asset classes and in-depth knowledge of the financial services industry and their IT systems.
• Knowledge of statistical methods, quant, or data analytics.
• Demonstrated experience leading the use of approved AI-assisted software development tools and understanding responsible AI use.
• Proficiency in all aspects of the Software Development Life Cycle, including CI/CD, application resiliency, and security.
• Practical cloud native experience.
• CFA charter holder (preferred).
• Experience with systematic portfolio management (preferred).
• Experience with model development, validation workflows, and building reusable Python Quant libraries (preferred).