Quantitative Python Developer - Fixed Income

Millennium Management; London; On-site; GBP 60,000 - 100,000

Job description

Quantitative Python Developer - Fixed Income

We are assembling a strong Quant Technology team to build our next generation of in-house analytics and trading support tools. This team will develop and maintain the in-house 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 one of the leading hedge funds in the world and enter the fast-growing world of FinTech, learning from the best in the field how it is done at the highest levels. We offer a fast-paced environment with excellent international growth opportunities and exposure to world-class financial technologies and global markets.

Responsibilities

1. Take part in the development and enhancement of the back-end distributed systems, providing continuous and uninterrupted Risk and Profit & Loss information to Portfolio Managers and Risk Officers.
2. Work closely with Quant researchers and developers, tech teams, middle office, and trading teams in New York, Miami, Tel Aviv, and Bangalore.
3. Build microservices on top of our new analytics library and integrate it into the existing system, using the latest technologies.

Requirements

1. Candidate will be required to write code in Python, Go, and possibly other languages.
2. Substantial experience developing in Python or Java, C++, Go, or other OOPs.
3. Experience in Client-Server, Distributed computing, and Microservices design patterns.
4. Experience developing and maintaining back-end distributed systems.
5. Good understanding of various Design Patterns, Algorithms & Data structures.
6. Experience working with Git / GitHub.
7. B.A. in computer science or another quantitative field.
8. Ability to communicate effectively with senior stakeholders across the organization.
9. Able to work independently in a fast-paced environment.
10. Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.
11. Understanding of fixed income trading products preferred.

Additional valuable skills (nice to have, but not essential)

1. Experience with Docker/Kubernetes.
2. Experience with NoSQL like MongoDB.
3. Experience with asynchronous programming in Python and use of the asyncio library.
4. Experience with reactive and/or functional programming.
5. Experience working in a Linux environment.
6. Experience with Continuous Integration and Deployment (CI/CD).
7. Experience developing in Java or C++ with good understanding of the Modern C++ standards.
8. Experience developing Cross Asset Pricing and Risk Systems.
9. Experience with financial mathematics and statistics.