Data Science Expert for Credit Risk Modeling
3 weeks ago
We empower people from diverse backgrounds to build a life beyond their next paycheck. With significant industry experience, our team drives data-driven decisions with natural language understanding, financial data insights, and user-specific product recommendations.
Estimated Salary: £80,000 - £110,000 per annumJob DescriptionYou will join our data science function working on critical projects that influence lending policies and impact users. Your focus will be on understanding user cashflow, including payment data and risk profiles, modeling this data to determine credit risk.
- Improving current machine learning models.
- Working closely with credit analysts to manage credit risk and drive improvements to credit policies.
To succeed in this role, you'll need:
- Extensive experience in data science or related roles.
- Ability to write production quality code in Python and SQL.
- Experience deploying machine learning algorithms into production.
- Experience leading data science initiatives and taking ownership of services or models.
- Experience proactively influencing the ML roadmap, driving new ideas with impact.
- Experience working with AWS technologies such as EC2, S3, Sagemaker.
We offer a flexible workplace with autonomy, flexibility, and benefits including:
- 25 days annual leave a year + public holidays.
- 6% employer-matched pension in the UK.
- Private Medical Insurance via Vitality, dental cover, and life assurance.
- Enhanced parental leave.
- 1 month paid sabbatical after 4 years at Cleo.
- Regular socials and activities.
- Online mental health support via Spill.
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