At a Glance
- Tasks: Deliver consultancy projects, build credit scorecards, and develop statistical models for major clients.
- Company: Global data and analytics firm with a strong culture and excellent staff retention.
- Benefits: Hybrid working, competitive salary, and opportunities for career progression.
- Other info: Work with modern cloud technology and diverse clients across various industries.
- Why this job: Join a dynamic team and make impactful decisions in the financial services industry.
- Qualifications: Experience in credit risk, strong SQL skills, and knowledge of CRA data.
The predicted salary is between 63000 - 77000 £ 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.
- Developing acquisition and behavioural credit scorecards using CRA data
- Building statistical and machine learning models including logistic and linear regression
- 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.
- 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
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.
Associate Technology Risk Analyst in London employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
