Join to apply for the Quantitative Python Developer - Fixed Income role at Millennium.
We are assembling a strong Quant Technology team to build our next-generation analytics and trading support tools. This team will develop and maintain models and pricing libraries, providing firm-wide live risk and Profit & Loss analysis to support global trading in Fixed Income, Commodities, Credit, and FX products.
This is a unique opportunity to join a leading hedge fund and enter the fast-growing FinTech sector, learning from top professionals. We offer a dynamic environment with international growth opportunities and exposure to advanced financial technologies and markets.
Responsibilities
* Develop and enhance back-end distributed systems to provide continuous Risk and P&L information to Portfolio Managers and Risk Officers.
* Collaborate with Quant researchers, developers, tech teams, middle office, and trading teams across various locations including New York, Miami, Tel Aviv, and Bangalore.
* Build microservices on top of our analytics library and integrate them into existing systems using modern technologies.
Requirements
* Proficiency in Python, Go, and possibly other programming languages.
* Extensive experience in Python or Java, C++, Go, or similar object-oriented programming languages.
* Experience with client-server architectures, distributed computing, and microservices design patterns.
* Proven track record in developing and maintaining back-end distributed systems.
* Strong understanding of design patterns, algorithms, and data structures.
* Experience with version control systems like Git/GitHub.
* B.A. in computer science or a related quantitative field.
* Effective communication skills with senior stakeholders.
* Ability to work independently in a fast-paced environment.
* Attention to detail, organization, and ownership of work.
* Experience with fixed income trading products is preferred.
Additional Valuable Skills
* Experience with Docker/Kubernetes, NoSQL databases like MongoDB, asynchronous programming in Python, reactive or functional programming, Linux environments, CI/CD pipelines, Java or C++ development, cross-asset pricing and risk systems, or financial mathematics and statistics.
Additional Details
* Seniority level: Entry level
* Employment type: Full-time
* Job function: Engineering and IT
* Industry: Investment Management
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