Quant Developer, Risk – London Or Nyc

Oxford Knight; London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Oxford Knight is hiring a Quant Developer, Risk, to join a fast-growing financial services firm. The role focuses on producing robust Python code, implementing risk-model pipelines, and building APIs for analytics.

Candidates should have extensive experience with distributed systems and production-grade software in finance. The position is based in London or NYC, offering exposure to prime brokerage, clearing and financing across traditional and digital assets.

Qualifications

• Minimum 5+ years' quant software development experience in financial services
• Ability to write production-grade Python code
• BS degree or above in Computer Science, Mathematics, or related field
• Experience with model-building pipelines (risk/alpha)
• Built large-scale, distributed systems

Responsibilities

• Contribute to productionization of risk models
• Improve research tools and models (e.g., backtesting)
• Develop APIs for internal/external customers with analytics
• Maintain and extend the scenario and risk engines

Skills

Production-grade Python

Quant software development

Distributed systems

Backtesting / risk models

Education

BS degree in CS/Math or related

Job description

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class Python software engineers to help build on their success.

Responsibilities

• Ensuring risk models are in a production-ready state by contributing to various parts of development, in particular the productionization
• Improving research tools and models, e.g. backtesting
• Developing APIs for internal and external customers with customized analytics
• Maintaining, improving and extending the scenario engine and risk engine code

Skills & Experience Required

• Minimum 5+ years' quant software development experience, preferably at a top-tier financial services firm
• Ability to write production-grade (robust and maintainable) Python code
• BS degree or above in Computer Science, Mathematics, or related field
• Previous hands-on experience of (some part of) a model-building pipeline (e.g. risk, alpha, etc.)
• Built large-scale, distributed systems

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.

Quant Developer, Risk - London or NYC London