Senior Credit Risk Analyst

Drive insight. Shape strategy. Strengthen credit risk excellence. We’re looking for a highly skilled Senior Credit Risk Modelling & Analytics Specialist to play a pivotal role in delivering the technical and analytical foundations that underpin our Credit Risk function. In this role, you’ll partner closely with the Credit Risk Model Owner and Analytics Manager to oversee the full lifecycle of our credit risk models—ranging from scorecards to IFRS9/ECL models—and to ensure our credit analytics and portfolio insights are accurate, robust, and ready to guide senior leadership decision‑making. If you thrive at the intersection of data, modelling, and strategic insight, this role offers the opportunity to make a real impact.

Responsibilities

• Credit Risk Model Development & Lifecycle Management

• Provide expert technical support for the development, validation, and implementation of credit risk models (Scorecards, ECL/IFRS9), ensuring alignment with the Bank’s model risk management policies.
• Own the model lifecycle plan—coordinating independent validations, monitoring model performance, and ensuring ongoing fitness for purpose.
• Contribute to the development and application of Post‑Model Adjustments (PMAs) and management judgment overlays, supporting the Bank’s response to economic volatility and model risk.
• Track population stability and key customer characteristics to assess alignment between expected and actual loan portfolio performance.
• Lead analysis to determine Loss‑to‑Receivable (LTR) assumptions for pricing and loss reserving, supporting the Bank’s profitability goals.
• Conduct in‑depth analytics across customer credit profiles and key macroeconomic indicators to highlight emerging risks and opportunities.

• Support the enhancement and implementation of credit risk policies aligned with strategy and regulatory expectations across the UK and European markets.
• Partner with first‑line operations and finance teams to streamline and integrate credit risk processes.
• Produce high‑quality technical documentation and insights for Bank Risk Committees.

Qualifications

• Technical Expertise: Established experience in credit risk model development or credit risk analytics within financial services, with hands‑on experience in Scorecards and ECL/IFRS9 models.
• Analytical Insight: Ability to turn complex datasets into meaningful insights, clear trends, and strategic recommendations.
• Communication Skills: Excellent written and verbal communication, with the confidence to explain complex modelling and analytics concepts to non‑technical stakeholders.
• Degree in Statistics, Mathematics, Economics, Finance, Data Science, or another quantitative discipline.
• Proficiency in SAS, SQL, Python, R, or data visualisation tools.
• Understanding of IFRS9 / US GAAP standards and the regulatory landscape for credit risk.

The Company is committed to diversity and equality of opportunity for all and is opposed to any form of less favourable treatment or harassment on the grounds of race, religion or belief, sex, marriage and civil partnership, pregnancy and maternity, age, sexual orientation, gender reassignment or disability.

This position is based in Dunton, and it is expected the successful candidate will be able to attend the Dunton office for typically 4 days a week and remain flexible on the days they are required to attend the office according to business requirements.

As part of our pre-employment checks process, successful candidates will be required to undergo a criminal record check. This will be conducted in line with the Rehabilitation of Offenders Act 1974 and applied only to unspent convictions.