Software Engineer

Software Engineer

About the role

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business.

The Enterprise Risk Technology team is looking for a Senior Quantitative Developer (Python). The developer will leverage Python, FastAPI/Django, AWS, and data manipulation libraries to provide data-driven solutions to stakeholders and will also provide technical leadership and people management within the team (mentoring developers, reviewing code, and helping shape best practices).

Responsibilities

• Work closely with quants, risk managers and other technologists in New York, London and Singapore to develop multi-asset analytics, stress and VaR for our in-house risk platform.
• Design and develop micro-services using Python and analyze data with pandas/polars.
• Create and manage cloud applications on AWS.
• Utilize GIT and appropriate DBMS solutions.
• Provide technical leadership within the team – drive design discussions, perform code reviews, and help define development standards and best practices.
• Mentor and guide developers, helping them ramp up on the codebase, tools, and domain.
• Coordinate with global stakeholders to ensure timely delivery and alignment on priorities.

Required skills/experience

• 8+ years of experience in software development, including recent hands-on work in Python.
• Strong analytical skills and problem-solving capabilities.
• Experience working with Python and data analysis libraries (pandas/polars).
• Experience with REST APIs and cloud services.
• Relational SQL database development experience.
• Unix/Linux command-line experience.
• Demonstrated experience in leading or mentoring other engineers (e.g., as a senior/lead developer, tech lead, or similar capacity).

Desirable skills/experience

• AWS cloud services: EC2, S3, Aurora, Redshift, etc.
• Identity and Access Management: Kerberos, OAuth 2.0, LDAP.
• Broad understanding of financial instruments and risk concepts.
• Bachelor’s degree in Computer Science & Engineering from a Tier 1 college (or equivalent).