🛠 Tech Stack

💼 About This Role

You'll join the Fraud Analytics team as a senior individual contributor, using data to protect customers and the bank from fraud in real time. You'll lead end-to-end fraud analysis using SQL and Python, directly influencing live fraud decisions that balance risk and customer experience. This role offers high visibility and impact in a fast-paced, scaling fintech environment.

🎯 What You'll Do

• Act as senior escalation point during fraud incidents
• Analyze fraud patterns using SQL and Python
• Optimize fraud rules and monitor ML models
• Create fraud reporting dashboards in Tableau

📋 Requirements

• Advanced SQL experience
• Python experience for data analysis
• Proven ability to handle complex analytical problems end-to-end
• Experience translating analysis into clear recommendations

✨ Nice to Have

• Experience in fraud, financial crime or risk analytics
• Background in fintech, banking or high-growth tech
• Exposure to real-time decisioning systems or ML models

🎁 Benefits & Perks

• 🏖️ Hybrid working from London office
• 💰 On-call pay for out-of-hours incidents
• 📈 High impact role in a growing team

📨 Hiring Process

Recruiter screening, SQL technical assessment, fraud analytics case study, final interview.