Lead Credit Risk Analyst - Harnham - Data & Analytics Recruitment : Job Details

LEAD CREDIT RISK ANALYST

Glasgow (hybrid working)

£65,000

This role does not offer sponsorship

An exciting opportunity to join a leading financial institution as a Lead Credit Risk Analyst, where you will play a key role in driving data-led decision-making and commercial strategy through advanced analytics and insights.

THE COMPANY

A well-established financial services provider with millions of retail, business, and corporate customers. With a strong commitment to innovation and data-driven decision-making, the company continuously enhances its analytical capabilities to improve customer experiences and business performance.

THE ROLE

As a Lead Credit Risk Analyst, you will:

• Extract meaningful insights from complex data sets to inform strategic business decisions.
• Develop and implement robust decision models to drive commercial outcomes.
• Conduct innovative customer analysis to identify commercial opportunities.
• Provide actionable recommendations to stakeholders, ensuring feasibility and business impact.
• Work with SQL and at least one additional programming language such as SAS, R, or Python.
• Apply statistical analysis techniques and build customer segmentation models.
• Collaborate with teams across the business to create data-driven strategies.

YOUR SKILLS AND EXPERIENCE

• Strong experience in data analysis and deriving insights to drive business performance.
• Proficiency in SQL and an additional programming language (e.g., SAS, R, Python).
• Experience with statistical modelling, customer segmentation, and targeting.
• Ability to create business models, both financial and consumer behavioural.
• A proactive and adaptable approach, with a growth mindset.
• Strong communication skills, with the ability to influence peers and stakeholders.

THE BENEFITS

• Up to £65,000.
• Generous bonus (typically up to 20%)
• Opportunity to work in a leading financial institution with strong career progression.
• Collaborative and data-driven working environment.

HOW TO APPLY

If this sounds like the right opportunity for you, please submit your application via the Apply link on this page.