Software Engineer
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Job description
We’re partnering with a leading global multi-manager hedge fund to hire a RiskTech Engineer to help build the next generation of its front-office risk platform.
Working directly with Portfolio Managers, Quantitative Researchers and Risk Managers, you’ll design and develop high-performance applications that transform quantitative research into scalable production systems used across the investment process.
This is an opportunity to work on business-critical technology in a fast-paced environment, gaining exposure to complex financial products, quantitative research and cloud-native architecture.
What You’ll Do
- Design, build and maintain scalable Python-based risk applications
- Develop services and interfaces that deliver risk analytics to front-office users
- Build and optimise large-scale data processing pipelines
- Deploy and support cloud-native applications and infrastructure
- Work closely with Risk, Quant Research and Portfolio Management teams to deliver new functionality
- Drive projects from initial design through to production deployment
What We’re Looking For
- 7+ years’ software engineering experience within financial services
- Strong Python and/or C# development experience
- Experience building scalable, production-grade applications
- Strong SQL and database knowledge
- Experience working with large datasets and distributed data processing
- Excellent problem-solving skills with the ability to work independently
- Fixed income products or asset management
- AWS, Docker and Kubernetes
- Risk analytics or quantitative research environments
Requirements
- 7+ years’ software engineering experience within financial services
- Strong Python and/or C# development experience
- Experience building scalable, production-grade applications
- Strong SQL and database knowledge
- Experience working with large datasets and distributed data processing
- Excellent problem-solving skills with the ability to work independently
- Fixed income products or asset management
- AWS, Docker and Kubernetes
- Risk analytics or quantitative research environments
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