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Quantitative Developer (Fixed Income - Risk)- Systematic Quant Fund
Why This Role Stands Out
You'll thrive as a Quantitative Developer at a leading systematic hedge fund, building critical risk infrastructure for fixed income trading and enjoying a collaborative culture with excellent growth prospects. This hybrid role offers the chance to develop your skills alongside top industry professionals, contributing to impactful projects in a dynamic environment with a healthy work-life balance. Apply now to join a team where your technical expertise and collaborative spirit will be highly valued.
Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
1 week ago
MicroservicesHTTPSPython
Job Description
Summary:
Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent prospects for career growth.
Looking for a Quant Developer to join the Risk team, responsible for building and maintaining tools to support trading risk analysis and reporting. Working alongside the very best Fixed Income Risk Managers, Traders & Researchers, you'll develop robust, scalable & consistent risk infrastructure in response to specific requirements. You'll also build tools and frameworks to process & analyse large volumes of market and trade data across fixed income products.
This role would suit someone with exceptional communication skills and thrives on working collaboratively, bridging the gap between technical and trading teams.
Requirements
Benefits:
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you would like to know more about this position, please do not hesitate to get in touch!
Mike McLoughlin
mike.mcloughlin@oxfordknight.co.uk
https://www.linkedin.com/in/michaelmcloughlin00/
Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent prospects for career growth.
Looking for a Quant Developer to join the Risk team, responsible for building and maintaining tools to support trading risk analysis and reporting. Working alongside the very best Fixed Income Risk Managers, Traders & Researchers, you'll develop robust, scalable & consistent risk infrastructure in response to specific requirements. You'll also build tools and frameworks to process & analyse large volumes of market and trade data across fixed income products.
This role would suit someone with exceptional communication skills and thrives on working collaboratively, bridging the gap between technical and trading teams.
Requirements
- 5+ years' software engineering experience + strong coding (ideally in Python)
- Strong understanding of risk measures & sensitivities, and their fixed income trading application
- Deep-level knowledge of fixed income products
- Proficient capturing trading & risk requirements and translating them into technical solutions
- Familiarity with databases, APIs, and microservices architecture
Benefits:
- Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
- Competitive salary + generous benefits
- Professional and personal development
- Relaxed, casual culture, with a healthy work-life balance
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you would like to know more about this position, please do not hesitate to get in touch!
Mike McLoughlin
mike.mcloughlin@oxfordknight.co.uk
https://www.linkedin.com/in/michaelmcloughlin00/
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