Senior Credit Risk Modelling Lead

Neobankbeat; Manchester; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Private Medical Insurance

Life Insurance

Pension Scheme

Volunteer time

Birthday leave

Cycle to Work

Discounts

Job summary

Starling Bank is seeking a Senior Credit Decision Modelling Analyst to join its 2nd line Credit Risk team in Manchester. You will develop and implement credit risk models, collaborate with stakeholders, document methodologies, and monitor model performance to ensure accuracy and robustness.

You will present findings to leadership and work with model validation teams to address findings, contributing to Starling's responsible lending framework.

Qualifications

• 3–5 years minimum experience developing credit risk models.
• Proficient with Python, R, SQL, SAS and spreadsheets.
• Understanding of unsecured lending products.
• Knowledge of regulatory and risk management guidelines.
• Ability to communicate model development clearly to stakeholders.
• Organised, flexible, and able to multitask.

Responsibilities

• Develop and implement credit risk models and strategies.
• Collaborate with stakeholders to ensure models meet business requirements.
• Produce detailed model documentation—methodology, assumptions, limitations.
• Monitor model performance and conduct regular reviews for accuracy.
• Present model developments to Senior leadership and internal/external stakeholders.

Skills

Credit risk modelling

Python/R/SQL/SAS

Communication

Teamwork

Problem solving

Organised/adaptable

Articulate methodologies

Education

Graduate level education (numerical degree)

Tools

Python

R

SQL

SAS

Spreadsheets

Job description

Starling Bank is seeking a Senior Credit Decision Modelling Analyst to join its 2nd line Credit Risk team in Manchester. You will develop and implement credit risk models, collaborate with stakeholders, document methodologies, and monitor model performance to ensure accuracy and robustness.

You will present findings to leadership and work with model validation teams to address findings, contributing to Starling's responsible lending framework.