Credit Risk Modeller

SUMMARY:
Credit Risk Modeller | Turn Data into Smarter Lending Decisions

Do you see numbers where others see noise? Can you design a model that sees the risk coming before anyone else? We’re on the lookout for a Credit Risk Modeller to help shape the future of smarter lending through powerful analytics and predictive risk modelling.

About the Role
This isn’t just another modelling gig — it’s an opportunity to take ownership of credit risk strategy and build high-impact solutions from scratch. You’ll be at the heart of the decision-making process, designing models that drive financial performance, enable growth, and ensure smart risk-taking across both merchant and consumer lending portfolios.

POSITION INFO:
What You’ll Do

• Design, develop, and maintain cutting-edge credit risk models that power smarter lending
• Build and refine credit scoring models that improve approvals and reduce defaults
• Monitor model performance and stability through diagnostic tools and validations
• Collaborate with analysts, engineers, and decision-makers to ensure clean data pipelines
• Produce transparent, audit-ready documentation that supports model governance
• Contribute to stress testing and scenario planning for capital and regulatory assessments
• Help integrate your models into operational systems and automation pipelines
• Stay ahead of regulatory updates, emerging modelling trends, and AI innovations

• A degree in Statistics, Data Science, Actuarial Science, Mathematics, or a related field
• 3–7 years of hands-on experience building risk or financial models
• Strong knowledge of credit lifecycle, scorecard development, and risk KPIs
• Proficiency in Python, R, SQL, or SAS — and you know your way around large datasets
• Comfortable working in a fast-paced, data-rich environment (bonus if fintech)
• Bonus: Familiarity with model governance, validation frameworks, or regulatory requirements

• Have an MSc or PhD in a quantitative field
• Know your way around machine learning, even if it's not your daily toolkit
• Can explain a Gini coefficient or PD curve to a business exec in plain English
• Have worked with cross-functional teams to embed models into production systems

• A role where your models directly shape lending decisions and risk appetite
• Full ownership of modelling lifecycle — not just maintenance
• Real-world data, real-time feedback, and real impact
• A highly collaborative team of data enthusiasts and business innovators
• Room to grow, innovate, and elevate your career