Software Engineer - Front Office Credit Technology

Responsibilities

• Partner directly with Portfolio Managers, traders, risk managers, and operations teams to understand business needs and translate them into practical technology solutions.
• Design, build, and maintain tools and applications supporting portfolio analytics, trading workflows, risk monitoring, and data-driven decision support across Credit Markets.
• Own the full development lifecycle, including requirements gathering, data analysis, solution design, implementation, testing, deployment, and production support.
• Rapidly prototype new ideas, validate them with users, and evolve successful prototypes into reliable production tools.
• Work closely with technology, quant, and data teams across New York, London, and Bengaluru to deliver integrated solutions.
• Contribute to strong engineering practices, including version control, testing, release discipline, observability, and supportability.

Requirements

• 5–7 years of professional software development experience, with strong hands-on Python or C++/Java development in business-facing or high-performance environments.
• Strong experience with Python for data-intensive applications, including libraries such as pandas and NumPy.
• Experience building APIs and lightweight applications using frameworks such as FastAPI.
• Prominent experience delivering end-to-end solutions, from problem definition and prototyping through deployment and production support.
• Strong analytical and problem-solving skills.
• Strong communication skills and confidence working directly with Portfolio Managers.
• Ability to work independently, manage competing priorities, and deliver effectively in a fast-paced environment.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.

Preferred Requirements

• Experience supporting credit businesses, including familiarity with credit products, portfolio analytics, risk concepts, and market data.
• Experience working closely with global teams across technology, quant, and risk functions.
• Experience using modern AI-assisted software development tools and workflows.
• Experience with AWS technologies such as S3, SQS, Batch, and Lambda.
• Experience with DevOps and deployment practices using technologies such as Docker and Kubernetes.
• Familiarity with financial mathematics and statistics.

Benefits

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.