Lead Credit Risk Analyst, Motor Finance — Share Scheme

Consortium; Cardiff; Híbrido; GBP 75.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free shares up to £3,600 after oneyear

33–38 days holiday with bank holidays

Buy/sell up to 5 days of annual leave

Descripción de la vacante

Admiral Money, the dynamic lending arm of Admiral Group, seeks a Lead Credit Risk Analyst to own the credit strategy for our Motor Finance portfolio. You will shape policy, referral strategies, and underwriting optimization while balancing growth with risk in a fast-moving, data-driven environment.

You will combine strategic direction with hands-on analytics, using SQL and Python to produce high-quality MI and governance updates.

Formación

• Minimum 3 years’ experience in a credit risk or credit strategy role within consumer lending.
• Experience managing or optimising credit policy within a regulated environment.
• Hands-on analytical capability with SQL and Python.
• Experience presenting to board or senior stakeholders.
• Motor finance experience is desirable.

Responsabilidades

• Lead end-to-end credit policy and underwriting strategy for Motor Finance.
• Own referral and application funnel strategy with increased automation.
• Monitor portfolio performance and provide timely insights to governance.
• Use SQL/Python to extract and interpret data, produce MI and strategy papers.
• Represent Credit Strategy in key projects and drive continuous improvement.

Conocimientos

Credit risk

SQL

Python

Data analysis

Stakeholder reporting

Communication

Underwriting strategy

Portfolio monitoring

Regulatory knowledge

Motor finance

Herramientas

SQL

Python

Descripción del empleo

Admiral Money, the dynamic lending arm of Admiral Group, seeks a Lead Credit Risk Analyst to own the credit strategy for our Motor Finance portfolio. You will shape policy, referral strategies, and underwriting optimization while balancing growth with risk in a fast-moving, data-driven environment.

You will combine strategic direction with hands-on analytics, using SQL and Python to produce high-quality MI and governance updates.