Senior Quantitative Model Risk & Liquidity Stress Lead

Senior Quantitative Model Risk & Liquidity Stress Lead

Full-Time 54000 - 66000 Β£ / year (est.) No working from home possible
Barclay Simpson

At a Glance

  • Tasks: Lead stress testing and manage risk models in a hands-on, technical environment.
  • Company: Barclay Simpson, a leading risk advisory firm in London.
  • Benefits: Competitive salary and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on innovation and excellence.
  • Why this job: Make a real impact in risk management while developing your technical skills.
  • Qualifications: Strong technical background in quantitative analysis and model risk management.

The predicted salary is between 54000 - 66000 Β£ per year.

Barclay Simpson, a prominent risk advisory firm in London, seeks a technically strong professional to join its Liquidity and Market Risk team.

The role focuses on stress testing, model ownership, and detailed analysis of algorithms, code and data, with a hands-on, technically rigorous environment.

You will manage a portfolio of risk models, run liquidity stress tests, and develop benchmarking models while ensuring adherence to internal model risk standards.

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Senior Quantitative Model Risk & Liquidity Stress Lead employer: Barclay Simpson

Barclay Simpson is an excellent employer, offering a dynamic work environment in the heart of London where compliance professionals can thrive. With a strong focus on employee growth and development, the company provides ample opportunities for career advancement while promoting a collaborative culture that values innovation and teamwork. The hybrid working model allows for a balanced work-life integration, making it an attractive choice for those seeking meaningful and rewarding employment in the financial sector.

Barclay Simpson

Contact Details:

Barclay Simpson Recruitment Team

We think you need these skills to ace Senior Quantitative Model Risk & Liquidity Stress Lead

Stress Testing
Model Ownership
Algorithm Analysis
Code Analysis
Data Analysis
Risk Modelling
Liquidity Risk Management