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Senior Quantitative Risk Analyst

1 month ago

London, Greater London, United Kingdom Harnham Full time

Job Title: Senior Quantitative Risk Analyst

Job Description:

This is an exciting opportunity to join a fast-growing boutique consultancy, working across risk analytics, and modelling services for leading global financial services.

The company offers cutting-edge solutions in capital management, stress testing, and credit risk. This would be the business's 3rd hire, making it a rare opportunity to join a consultancy with significant growth potential.

The Role:

  • Lead the design, development, and validation of credit risk models, with a primary focus on IFRS 9.
  • Have an in-depth understanding of Basel and IFRS 9 regulatory frameworks, ensuring full compliance throughout the model development lifecycle.
  • Carry out quantitative analysis using Python for risk modelling and automation.
  • Develop advanced statistical models, including time series, logistic regression, and decision trees, tailored to meet specific client requirements and goals.
  • Manage end-to-end modelling projects, from data analysis to delivering actionable insights, ensuring timely and successful project completion for clients and stakeholders.
  • Clearly articulate complex modelling results and insights to both technical and non-technical audiences, including senior leadership.

Requirements:

  • Extensive experience with IFRS9, and IRB or Stress Testing frameworks is highly desirable.
  • Strong understanding of IFRS9 regulatory frameworks.
  • Proficiency in Python, with SAS and R being desirable.
  • Previous stakeholder management experience.
  • A minimum of 3-5 years of experience in credit risk modelling.
  • Numerate degree from a Russel Group university.
  • Excellent written and verbal communication skills.

Benefits:

  • Up to £80,000.
  • Generous equity/shares within the business.
  • Flexible working pattern.

How to Apply:

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.