Credit Risk Modelling Analyst

Description

• Serve as the go-to expert for analytical tools and techniques across the Credit Risk and wider debt teams.
• Lead and contribute to regular Credit Risk meetings, presenting findings and recommendations to senior stakeholders, including director-level audiences
• Detect early warning indicators of potential risks and opportunities, enabling proactive intervention through advanced data analysis.
• Evaluate current collections strategies to uncover weaknesses and provide actionable insights that drive performance improvements.
• Analyse customer behavioural data to identify emerging trends and patterns.
• Develop and deliver insightful reports that explain historical debt performance and inform strategic decisions.

Requirements

• Relevant analytical and/or data modelling experience gained within a credit risk environment or similar
• Degree in a statistics or similar numerate discipline or equivalent experience desirable
• Self-motivated and proactive, capable of delivering high-quality analysis with minimal supervision.
• Experience in the Energy sector is advantageous but not essential.
• Strong knowledge of Credit Reference Agencies and the ability to leverage their data for impactful analysis.
• Advanced proficiency in analytical platforms such as Databricks, Python, SQL, and Power BI, with expert-level skills in Microsoft Excel.
• Excellent communication skills, both verbal and written, with the ability to tailor messaging to different audiences.
• Prior experience in team leadership is desirable but not essential.
• Proven ability to translate complex datasets into clear, actionable insights for senior leadership.
• Highly numerate
• Strong experience in Credit Risk, ideally within a regulated industry.
• Demonstrates leadership qualities and sound judgment in selecting analytical approaches.
• Attention to detail

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance