
Risk Model Development Specialist
2 days ago
This is a strategic position that offers the opportunity to work on multiple projects, across regions, and with varied data environments. As a Credit Risk Modelling Lead, you will champion project delivery and lead design, development, validation, and implementation of advanced credit risk models for a diverse portfolio of clients across banking, fintech, and other lending sectors.
Key Responsibilities:- Collaborate with data science leads and consulting leads to understand business needs and identify strategic areas where data science/modeling can drive strong business impact, in alignment with organisation's goals and priorities.
- Engage with client stakeholders to understand business challenges, risk appetite, and regulatory context.
- Lead end-to-end model development projects — from requirements gathering to implementation — across Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), IFRS 9/ECL, and stress testing frameworks.
- Design and implement credit scoring models leveraging alternate data sources (e.g., telco usage, e-commerce behaviour, social and utility payment data, open banking, and digital footprint) to expand credit access and improve risk assessment.
- Presentation of complex analytical findings in clear, actionable terms for senior executives and risk committees, providing best practice guidance on risk model governance, regulatory compliance, and validation standards.
- Support data science leads in identifying opportunities for cross-selling data analytics, AI/ML, and adjacent risk modelling services.
- Support proposal writing, RFP responses, and client presentations to win new engagements.
- Guiding junior data scientists and analysts in technical modelling techniques and client delivery best practices, ensuring quality and timeliness of project delivery.
- Promoting knowledge sharing across project teams and practices.
About this role:
We are seeking an experienced professional to lead our credit risk modelling efforts. If you have expertise in credit risk modelling, we would love to hear from you.
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