Overview
On Site
Full Time
Skills
Quantitative Analysis
Stress Testing
Risk Analysis
Optimization
Analytics
Python
Finance
Portfolio Optimization
Pricing
Modeling
Front Office
Computer Science
Mathematics
Job Details
Location: London / New York / Chicago
About the Role: Quantitative Developer wanted to join a high-impact risk engineering team at a leading Quant Fund. This role focuses on building and optimizing computational frameworks that power portfolio construction, stress testing, and risk decomposition across multi-asset strategies. You will work closely with risk managers and investment teams to deliver actionable insights and production-ready analytics.
Key Responsibilities:
Hard Requirements:
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 think you're a good match for the role and would like further info, please contact:
Ali Wilson
(+44)
linkedin.com/in/alexander-wilson-050
About the Role: Quantitative Developer wanted to join a high-impact risk engineering team at a leading Quant Fund. This role focuses on building and optimizing computational frameworks that power portfolio construction, stress testing, and risk decomposition across multi-asset strategies. You will work closely with risk managers and investment teams to deliver actionable insights and production-ready analytics.
Key Responsibilities:
- Build scalable simulations and "what if" scenario engines for portfolio risk analysis
- Develop optimization tools for risk decomposition and portfolio rebalancing
- Enhance and maintain Python-based risk models and analytics libraries
- Support full revaluation pricing models and risk calculations across asset classes
- Partner with risk and front-office teams to deliver production-grade solutions
Hard Requirements:
- Strong programming skills in Python; experience with other languages is a plus
- Proven experience with financial risk systems or portfolio optimization tools
- Deep understanding of pricing, risk modelling, and front-office trade lifecycle
- Ability to build and deploy quantitative models in production environments
- Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.
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 think you're a good match for the role and would like further info, please contact:
Ali Wilson
(+44)
linkedin.com/in/alexander-wilson-050
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.