Senior Credit Risk Modeller — Decision Analytics

Neobankbeat; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Pension scheme

Private Medical Insurance

Life insurance 4x salary

Birthday leave

Volunteering time

Waitrose discounts

Perkbox membership

Cycle to Work

Gym partnerships

Family-friendly policies

Job summary

Starling Bank is seeking a Senior Credit Decision Modelling Analyst in London to join the 2nd line Credit Risk team. You will develop and implement credit risk models, monitor performance, and collaborate with stakeholders to ensure alignment with business needs.

Key responsibilities include presenting findings to leadership, maintaining comprehensive model documentation, and working with validation teams to ensure robustness. Strong technical skills and 3–5 years of experience are expected.

Qualifications

• 3–5 years of experience in credit risk model development.
• Proficient in Python, R, SQL and SAS.
• Graduate level education in a numerical field preferred.
• Good understanding of unsecured lending products.
• Ability to communicate model methodologies to stakeholders.

Responsibilities

• Develop and implement credit risk models and strategies.
• Collaborate with stakeholders to ensure models meet business requirements.
• Produce detailed model documentation including methodology and limitations.
• Monitor model performance and conduct regular reviews for stability.
• Work with model validation teams to address findings and ensure robustness.
• Present model developments to Senior leadership and internal/external stakeholders.

Skills

Python

R

SQL

SAS

Analytical skills

Education

Graduate degree in numerical field

Tools

Python

R

SQL

SAS

Job description

Starling Bank is seeking a Senior Credit Decision Modelling Analyst in London to join the 2nd line Credit Risk team. You will develop and implement credit risk models, monitor performance, and collaborate with stakeholders to ensure alignment with business needs.

Key responsibilities include presenting findings to leadership, maintaining comprehensive model documentation, and working with validation teams to ensure robustness. Strong technical skills and 3–5 years of experience are expected.