Overview
In this role you lead a data science team within a fintech consumer lending context, shaping end-to-end credit modelling and data infrastructure. You will drive the development of the data warehouse and data environment, and oversee a range of credit models from scorecards to IFRS9, while building challenger models and monitoring performance. You operate in a startup-like culture that values technical excellence and rapid impact. This is a high-impact position offering exposure to scalable credit solutions and a collaborative, innovation-focused environment.
Pay / Benefits
- Remote working
- 10% bonus
- competitive salary
Responsibilities
- Lead and manage the Data Science team
- Build and evolve the data warehouse
- Develop the data environment to support analytics
- Create and enhance credit models across the portfolio
- Work with scorecards, propensity models, and IFRS9 models
- Develop challenger models to improve the modelling suite
- Monitor and report on model performance and governance
- Provide oversight of the modelling process
Key requirements
- Seven years of Data Science experience
- Experience building a data warehouse
- Experience building a new data environment
- Machine Learning expertise
- At least 1 year of finance industry experience
- Strong SQL
- Proficiency in Python/SQL or R
- Solid understanding of data warehousing
- AI tooling experience
- Ideally familiarity with Credit Bureau Data
- leadership and team management
- strong communication
- problem-solving orientation
- Machine Learning
- Python
- SQL
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