Quantitative Python Developer - Fixed Income

Millennium; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Quantitative Python Developer to join their innovative Quant Technology team. This role offers a unique opportunity to work in the fast-paced FinTech sector, developing advanced analytics and trading support tools. You'll be responsible for enhancing back-end systems and collaborating with global teams to provide critical risk and P&L information. If you are passionate about technology and finance, this is the perfect chance to grow your career in a dynamic environment with international exposure and opportunities for professional development.

Qualifications

• Proficiency in Python and Go, with experience in Java or C++.
• Strong understanding of design patterns, algorithms, and data structures.

Responsibilities

• Develop and enhance back-end distributed systems for Risk and P&L information.
• Collaborate with teams across various global locations.

Skills

Python

Go

Java

C++

Distributed Computing

Microservices Design Patterns

Version Control (Git/GitHub)

Effective Communication

Attention to Detail

Fixed Income Trading Products

Education

B.A. in Computer Science

Related Quantitative Field

Tools

Docker

Kubernetes

MongoDB

CI/CD Pipelines

Job description

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