🛠 Tech Stack

💼 About This Role

You'll develop machine learning models for underwriting and pricing decisions on Lendable's UK credit cards business. Your work will directly influence growth, risk, and profitability through large-scale data analysis and model deployment. You'll own models end-to-end in a high-autonomy environment.

🎯 What You'll Do

• Develop and deploy machine learning models for underwriting and pricing.
• Generate insights from large datasets to influence credit strategy.
• Own models throughout their lifecycle from research to production.
• Collaborate with stakeholders on ambiguous quantitative problems.

📋 Requirements

• Python and SQL programming skills.
• Strong understanding of statistics and machine learning.
• Ability to approach ambiguous problems with structure and pragmatism.
• Curious, fast-moving, and collaborative mindset.

✨ Nice to Have

• Interest in advanced machine learning techniques and applied research.
• Experience in credit risk, lending, or financial services.
• Interest in machine learning infrastructure and optimisation.

🎁 Benefits & Perks

• 🏖️ Flexible working - hybrid with three days in-office weekly.
• 🏥 Health coverage - private health cover for physical and mental wellbeing.
• 🍽️ Office meals & snacks - complimentary lunches and stocked kitchen.
• 🚲 Sustainable commuting - cycle-to-work and EV salary sacrifice schemes.
• 💰 Employee referral programme - competitive bonus for successful referrals.

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Recruiter Call· 30 min
2. 2Take Home Task· 2-3 hours
3. 3Technical Interview· 60 min
4. 4Case Study· 60 min
5. 5Final Interview· 60 min