Join YouLend’s growing Risk team to use advanced analytics and machine learning to shape embedded finance. Develop and enhance Probability-of-Default and revenue-forecasting models, uncover insights, and integrate data-driven solutions into products and strategies.
Responsibilities:
- Analyse complex datasets to uncover patterns and inform business decisions.
- Build and deploy machine learning models for financial forecasting, fraud detection, credit risk optimisation, and customer personalisation.
- Develop algorithms for pricing and risk assessment.
- Create visualisations and dashboards to communicate findings to stakeholders.
- Collaborate with risk managers, engineers, and commercial teams to integrate insights into products and strategies.
- Partner with data and ML engineering teams to ensure robust, scalable data pipelines, and contribute to MLOps and model lifecycle best practices.
Requirements: Proven data science experience in fintech; strong Python and SQL skills; hands-on experience with machine learning algorithms and foundational MLOps; ability to build predictive models and explain complex data insights to technical and non-technical audiences. Experience with financial or transactional datasets is a plus.
Conditions and benefits: Hybrid role based at the London headquarters; full-time. Benefits include private medical insurance, EAP, enhanced parental leave, subsidised meals, office amenities, social events, and sports clubs. Opportunities for compensation and career growth.