Lead credit risk data scientist

ZipRecruiter; London; On-site; GBP 140,000; Full time

Job summary

An innovative firm is seeking a Lead Credit Risk Data Scientist to shape the future of motor financing. In this role, you will focus on building and deploying credit risk models while analyzing portfolio performance. You will collaborate with data engineers to ensure model pipelines are efficient and compliant with regulations. This position offers the chance to work independently while making a significant impact in the fintech industry. If you are passionate about data science and want to drive change in a dynamic environment, this opportunity is perfect for you.

Qualifications

• Experience in credit risk modeling in fintech or banking.
• Strong analytical skills and statistical methods knowledge.

Responsibilities

• Build and deploy credit risk and fraud models.
• Analyze portfolio performance and monitor risk indicators.
• Collaborate with data engineers on model pipelines.

Skills

Python

SQL

Credit Risk Modelling

Data Science

Tools

Pandas

Scikit-learn

Job description

Job Description

LEAD CREDIT RISK DATA SCIENTIST

LONDON

UP TO £140,000

If you love building models more than managing people, and you're excited by the idea of shaping the future of motor financing-this one's for you. You will be joining as an individual contributor, owning the Data Science function!

THE ROLE

• Build, validate, and deploy credit risk, fraud, collections models
• Analyse portfolio performance and monitor key risk indicators
• Collaborate with data engineers to productionise and maintain model pipelines
• Ensure compliance with relevant regulations and support model governance processes
• Communicate insights clearly to technical and non-technical stakeholders

REQUIREMENTS

• credit risk modeling/ data science role, ideally in fintech, banking, or consumer lending
• Strong Python and SQL skills (Pandas, Scikit-learn, etc.)
• Solid understanding of credit risk modelling, statistical methods

HOW TO APPLY

Please apply below...