Credit Risk Analytics Specialist

Centrica Plc; Leeds; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading energy provider is seeking a Credit Risk Modelling Analyst to establish a new Credit Risk function within their Residential Energy collections team. The role involves analyzing customer behavior, evaluating collections strategies, and providing strategic insights to enhance performance. The ideal candidate will have strong experience in Credit Risk, advanced analytical skills including proficiency in Python and SQL, and excellent communication abilities. Join a team focused on sustainability and positive community impact.

Benefits

Flexible total rewards

Support for families

Focus on personal growth

Qualifications

• Experience in a credit risk environment or similar.
• Ability to translate complex datasets into clear insights for senior leadership.
• Proven analytical skills with a focus on delivering actionable insights.

Responsibilities

• Analyse customer behavioural data to identify emerging trends.
• Evaluate collections strategies to provide actionable insights.
• Detect early warning indicators of potential risks.
• Serve as the expert for analytical tools across teams.
• Develop reports explaining historical debt performance.
• Lead Credit Risk meetings, presenting to senior stakeholders.

Skills

Highly numerate

Attention to detail

Strong experience in Credit Risk

Advanced proficiency in Python

Strong knowledge of Credit Reference Agencies

Expert-level skills in Microsoft Excel

Excellent communication skills

Self-motivated and proactive

Education

Degree in a statistics or similar numerate discipline

Tools

Databricks

SQL

Power BI

Job description

A leading energy provider is seeking a Credit Risk Modelling Analyst to establish a new Credit Risk function within their Residential Energy collections team. The role involves analyzing customer behavior, evaluating collections strategies, and providing strategic insights to enhance performance. The ideal candidate will have strong experience in Credit Risk, advanced analytical skills including proficiency in Python and SQL, and excellent communication abilities. Join a team focused on sustainability and positive community impact.