Quant Risk Developer

The Client

Our client is a globally recognised investment firm operating across the US, Europe, and Asia. They combine advanced technology, quantitative research, and deep financial expertise to deliver consistent, data-driven performance across diverse markets.

With a strong culture of innovation, collaboration, and continuous learning, they empower their teams to push the boundaries of what's possible in finance and technology.

What You'll Get

• Competitive base salary with outstanding bonus potential
• Comprehensive benefits, including private healthcare and pension contributions
• Access to cutting-edge technology and sophisticated trading systems
• Opportunities for international collaboration with offices in major global financial hubs
• A culture that values curiosity, innovation, and career development

What You'll Do

• Design, build, and maintain advanced risk analytics and reporting platforms used across multiple trading teams
• Collaborate with global risk and technology professionals to enhance systems supporting multi-asset portfolios
• Develop and optimise macro product models, focusing on performance, scalability, and accuracy
• Provide proactive application and data support for risk managers and analysts
• Translate prototype models into production-grade tools and deliver ad-hoc analytics to guide risk decisions

What You'll Need

• Around 5-7 years of professional software development experience, including at least a couple of years working with the .NET framework and C#
• Strong technical skills across SQL Server, Windows environments, and scripting languages such as Python and VBA
• A proven ability to analyse complex problems and deliver well-structured, efficient solutions
• Clear communication skills and the confidence to collaborate with both technical and non-technical colleagues
• A genuine interest in financial markets with prior exposure to macro asset classes like FX, Rates, or Commodities would be a plus
• Experience working with third-party risk platforms would be beneficial
• A degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline (postgraduate qualifications welcome)
• A proactive, detail-oriented approach with enthusiasm for learning and contributing to a fast-paced, team-focused environment

Interested?

If you're passionate about the intersection of finance and technology and want to work in a high-performing, collaborative environment. Apply now or contact for a confidential discussion.