Senior Credit Risk Analytics Partner

SmartRecruiters, Inc.; Crewe; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive pay

Bonus potential

Benefits package

Job summary

Radius seeks a Senior Credit Risk Analyst to own credit insights for a division, partnering with senior leadership to shape decisions. You will automate reporting, deliver predictive insights, and influence policy using robust data sources.

Based in Crewe, the role emphasizes building trusted relationships, presenting clear recommendations, and driving continuous improvement with minimal supervision.

Qualifications

• No specific formal qualifications required; a degree in Data Analytics, Data Science, Mathematics, Statistics, Economics, Finance or a related discipline would be advantageous.

Responsibilities

• Act as embedded credit analytics partner for the division, supporting portfolio performance, risk management and strategic decision-making.
• Identify analytical opportunities, scope risks, and prioritise improvements; reshape reporting to support business decisions.
• Design and implement automated SQL and Tableau reporting to reduce manual work and improve data reliability.
• Deliver root-cause analysis, trend identification and predictive insights on portfolio performance and customer behaviour.
• Contribute to design of credit policy, limits, and provide analytical evidence for policy decisions.

Skills

Advanced SQL

Advanced Tableau

Advanced Excel

Automation

Commercial judgement

Stakeholder management

Data-driven insight

Self-directed

Credit risk principles

Education

Data Analytics degree

Data Science degree

Statistics degree

Tools

SQL

Tableau

Excel

Job description

Radius seeks a Senior Credit Risk Analyst to own credit insights for a division, partnering with senior leadership to shape decisions. You will automate reporting, deliver predictive insights, and influence policy using robust data sources.

Based in Crewe, the role emphasizes building trusted relationships, presenting clear recommendations, and driving continuous improvement with minimal supervision.