Associate Analytics Consultant

Associate Analytics Consultant London (Hybrid – Monday to Thursday Office / Friday Remote)Up to £75,000THE COMPANYThis 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.THE ROLEAs 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 dataBuilding statistical and machine learning models including logistic and linear regressionDesigning and implementing credit strategies for new and existing customer portfoliosAnalysing large datasets using SQL and Python (or SAS)Delivering analytical consultancy projects for external clients across multiple industriesPresenting technical findings and commercial recommendations to senior stakeholdersSupporting clients to improve lending decisions through data-driven insightsThe role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.YOUR SKILLS AND EXPERIENCEYou'll ideally have:Experience developing credit scorecards within a credit risk environmentStrong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)Credit risk experience across model development or strategyStrong SQL skills alongside Python or SAS (Python preferred)Experience with statistical modelling techniques such as logistic regression or machine learningExcellent communication skills with the ability to present to clients and senior stakeholdersTHE BENEFITSUp to £75,000 salaryHybrid working (Monday-Thursday office, Fridays remote)Work with a wide range of clients across financial services, telecoms and beyondOpportunity to work on varied analytical consultancy projects rather than a single portfolioModern cloud-based technology stack with increasing use of PythonStrong career progression within a business known for long employee tenureTwo-stage interview process with a fast turnaroundHOW TO APPLYPlease register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.