Credit Risk Analytics Consultant in London

Credit Risk Analytics Consultant in London

London Full-Time 59400 - 72600 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Deliver consultancy projects, build credit scorecards, and develop lending strategies using data analytics.
  • Company: Global data and analytics firm known for its strong culture and employee retention.
  • Benefits: Up to £75,000 salary, hybrid working, and opportunities for career progression.
  • Other info: Work with modern tech and diverse clients across various industries.
  • Why this job: Join a dynamic team and make impactful decisions in the financial services sector.
  • Qualifications: Experience in credit risk, strong SQL skills, and knowledge of CRA data.

The predicted salary is between 59400 - 72600 £ per year.

This global data, analytics and technology business helps organisations make smarter lending decisions through market-leading credit data, analytics and consultancy. Working with banks, lenders, telecoms and other major organisations, they develop analytical solutions that improve customer acquisition, credit decisions and portfolio performance. Having recently migrated to the cloud and invested heavily in Python, it's an exciting time to join a business known for its strong culture and excellent staff retention.

As an Associate Consultant within the Client Analytics team, you'll deliver consultancy projects for some of the UK's largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions.

This is a highly commercial, client-facing position where you'll own analytical projects from discovery through to delivery, presenting insights and recommendations to senior stakeholders while balancing technical excellence with commercial impact.

You'll be responsible for:

  • Developing acquisition and behavioural credit scorecards using CRA data
  • Building statistical and machine learning models including logistic and linear regression
  • Designing and implementing credit strategies for new and existing customer portfolios
  • Analysing large datasets using SQL and Python (or SAS)
  • Delivering analytical consultancy projects for external clients across multiple industries
  • Presenting technical findings and commercial recommendations to senior stakeholders
  • Supporting clients to improve lending decisions through data-driven insights

The role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.

You’ll ideally have:

  • Experience developing credit scorecards within a credit risk environment
  • Strong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)
  • Credit risk experience across model development or strategy
  • Strong SQL skills alongside Python or SAS (Python preferred)
  • Experience with statistical modelling techniques such as logistic regression or machine learning
  • Excellent communication skills with the ability to present to clients and senior stakeholders

Up to £75,000 salary

Hybrid working (Monday-Thursday office, Fridays remote)

Work with a wide range of clients across financial services, telecoms and beyond

Opportunity to work on varied analytical consultancy projects rather than a single portfolio

Modern cloud-based technology stack with increasing use of Python

Strong career progression within a business known for long employee tenure

Two-stage interview process with a fast turnaround

Credit Risk Analytics Consultant in London employer: Harnham - Data and Analytics Recruitment

As an AI Automation Lead at this investment-focused organisation in London, you will thrive in a collaborative and innovative environment that prioritises technology and data. The company offers a competitive salary, comprehensive benefits, and the unique opportunity to build impactful AI solutions from the ground up, all while fostering professional growth and cross-functional teamwork.

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Contact Details:

Harnham - Data and Analytics Recruitment Recruitment Team

StudySmarter Expert Advice🤫

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We think you need these skills to ace Credit Risk Analytics Consultant in London

Credit Risk Analytics
Credit Scorecard Development
Statistical Modelling
Machine Learning
SQL
Python
SAS

Some tips for your application 🫡

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