Software Engineer

Paragon Alpha
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Big Data C Sharp (Programming Language) Databases Distributed Computing Environment Python (Programming Language) Standard Sql Software Deployment Software Engineering Docker

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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