🛠 Tech Stack

💼 About This Role

You'll design and build credit risk management solutions for retail assets. You'll leverage data analytics to shape strategies across the customer lifecycle. This role offers the chance to work with advanced AI/ML models in a digital-first banking environment.

🎯 What You'll Do

• Analyze data to develop risk strategies
• Design data-driven risk strategies for lending products
• Incorporate local regulatory requirements into credit risk strategy
• Collaborate with Product, Technology, and Analytics teams

📋 Requirements

• At least 7 years of relevant experience
• In-depth understanding of local regulation related to unsecured lending
• Solid experience in credit risk modelling including PD, LGD, and EAD frameworks
• Proven track record in applying credit risk models

✨ Nice to Have

• Understanding of AI and Machine Learning models in retail credit risk
• Experience with model implementation and validation

🎁 Benefits & Perks

• 🏖️ Inclusive workplace
• 📈 Equal opportunity employer

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min