Market Risk Analytics Engineer in Birmingham

Market Risk Analytics Engineer in Birmingham

Birmingham Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
WeAreTechWomen

At a Glance

  • Tasks: Deliver impactful risk analytics and support senior leadership with data-driven insights.
  • Company: Join Goldman Sachs, a leading global investment banking firm.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Dynamic team environment with excellent career advancement opportunities.
  • Why this job: Make a real impact in risk management while working with top-tier professionals.
  • Qualifications: Strong quantitative skills and hands-on experience with Python and SQL.

The predicted salary is between 63000 - 77000 Β£ per year.

Goldman Sachs is recruiting for a Market Risk Analytics & Reporting role within Risk Engineering.

The team produces independent risk and capital metrics to support senior leadership, regulators and clients.

The role focuses on delivering impactful risk analytics across market, credit and regulatory domains.

We seek candidates with strong quantitative backgrounds, hands-on Python/SQL experience, and a track record of building data-driven risk insights.

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Market Risk Analytics Engineer in Birmingham employer: WeAreTechWomen

At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.

WeAreTechWomen

Contact Details:

WeAreTechWomen Recruitment Team

We think you need these skills to ace Market Risk Analytics Engineer in Birmingham

Market Risk Analytics
Risk Engineering
Quantitative Analysis
Python
SQL
Data-Driven Insights
Risk Metrics