Credit Risk Data Scientist - Hybrid (London)

Zopa Bank; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Hybrid work model

Work abroad up to 120 days per year

Job summary

Zopa Bank’s Data Science team is expanding to rebuild and expand models that support consumer-credit decisions, while increasing the sophistication of risk and value modeling. You will own your problems and deliver practical models in a lean, collaborative environment.

This is a hands-on role for mid to senior level, with Python, Git, and production-grade Python microservices experience valued. Flexible hybrid work with London office 2-3 days per week and the option to work abroad up to 120 days.

Qualifications

• You have hands-on data science experience.
• Bring practical Python and Git capability.
• Understand common statistical-learning models and machine-learning algorithms.
• Have statistical fundamentals, including hypothesis testing and experimental design.
• Independently translate ambiguous problems into useful models or analyses.
• Communicate clearly with technical and non-technical stakeholders.
• Collaborate effectively across business, Product and Engineering.

Responsibilities

• Take ambiguous credit-related questions from discussions through to modelling and analysis.
• Build, improve and maintain models that support consumer-credit decisions.
• Work on flagship risk models and broader value-driver models (revenue, profit, customer lifetime value).
• Use Python and statistical judgement to develop classification and regression solutions.
• Partner with Credit Strategy to understand priorities and create useful solutions.
• Collaborate with Product and Engineering to sequence work and productionise.
• Explain technical choices clearly and help move decisions forward.

Skills

Data science

Python programming

Git

Tools

Python

Git

Job description

Zopa Bank’s Data Science team is expanding to rebuild and expand models that support consumer-credit decisions, while increasing the sophistication of risk and value modeling. You will own your problems and deliver practical models in a lean, collaborative environment.

This is a hands-on role for mid to senior level, with Python, Git, and production-grade Python microservices experience valued. Flexible hybrid work with London office 2-3 days per week and the option to work abroad up to 120 days.