Millennium is a top-tier global fund with a strong commitment to using technology and data to solve complex business problems. Our Credit Technology team develops and supports the data, research, and trading platforms used by Credit Portfolio Managers, traders, risk managers, and operations teams.
We are seeking an individual contributor for a hands-on development role focused on turning front-office ideas into practical, production-ready tools. This person will work directly with investment professionals and business stakeholders to identify opportunities, prototype solutions quickly, and deliver robust applications that improve trading workflows, portfolio insight, and decision support across Credit Markets.
This role is well suited to an experienced engineer who combines strong Python development skills with product-minded problem solving, comfort in a fast-paced front-office environment, and the ability to independently own delivery from idea through deployment and support.
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.
What Success Looks Like
- Front-office users can move from idea to working solution quickly and with minimal friction.
- Manual and spreadsheet-driven workflows are replaced with scalable, supportable applications.
- Portfolio managers and traders have better visibility into portfolio, market, and risk data.
- Tactical tools are delivered rapidly without compromising reliability, maintainability, or production readiness.
Mandatory 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.
- Proven 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.
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. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.