Credit Risk Consultant

Posted 7 hours 43 minutes ago by Harnham - Data & Analytics Recruitment

£55,000 - £85,000 Annual
Permanent
Full Time
Academic Jobs
London, United Kingdom
Job Description

Credit Risk Consultant

£55,000-£85,000

London + hybrid working (2 days in office)

Harnham are working with a leading UK consultancy who are expanding their credit risk and analytics team with the hire of a Credit Risk Consultant to support a wide variety of modelling and advisory projects.

THE COMPANY

  • A well established professional services firm offering advisory, analytics and actuarial expertise across multiple sectors.
  • Their credit risk division delivers data driven moelling and strategic insight to lenders, financial institutions, and investors.
  • With continued growth and new service areas, they offer broad exposure, a collaborative environment, and strong technical development.
THE ROLE

This role sits within the credit risk team and will focus on delivering a range of modelling, analytics, and advisory projects across consumer lending and related markets. You will act as a hands on consultant, owning workstreams and supporting both senior leaders and junior analysts.

Specifically, you can expect to be involved in:

  • Building and enhancing credit risk forecasting, cashflow, and portfolio models.
  • Conducting portfolio and performance analytics across a range of lenders and products.
  • Supporting technical reviews such as scorecard assessments, stress-testing, and modelling validation.
  • Delivering data-driven insights for investor due diligence and strategic advisory projects.
  • Working across multiple short-cycle projects (typically 3-6 weeks) with a variety of clients.

YOUR SKILLS AND EXPERIENCE

  • Experience in credit risk analytics, ideally 3+ years within financial services or consultancy.
  • Strong Python skills for modelling, data manipulation, and analytical workflows.
  • Exposure to credit risk modelling techniques (e.g., forecasting, scorecards, stress-testing).
  • Ability to manage projects, communicate insights, and work collaboratively with technical and non-technical stakeholders.
  • Strong academic background in a numerical/STEM discipline.

THE BENEFITS

  • Exposure to diverse and complex modelling projects across multiple lending products.
  • Flat structure offering direct access to senior experts and the chance to quickly develop.
  • Regular technical and non-technical training sessions.
  • Hybrid working with a high quality London office environment.
THE PROCESS
  • Initial 30-minute interview focusing on experience and technical background.
  • Technical assessment involving Python and a case-study style dataset.
  • Final in-person interview with further technical and competency discussion.

HOW TO APPLY

Please register your interest via the apply link on this page.