Credit Risk Modeller (Lending & Analytics)

What Youll Do:
Build, refine, and validate

credit risk models

for merchant and consumer advances.
Develop

credit scoring tools

to support strategic lending decisions.
Monitor and optimise model performance to ensure accuracy and business value.
Work closely with data engineers and analysts to guarantee

high-quality data input.
Deliver clear and audit-ready

model documentation and validation reports.
Support

regulatory stress testing , scenario modelling, and capital planning.
Champion the integration of risk models into production systems using

R, Python, SQL , or similar tools.
Stay ahead of

emerging trends

in data science, modelling, and regulatory standards.

What Were Looking For:
A Degree in

Statistics, Actuarial Science, Data Science, Quantitative Risk Management , or similar.
37 years

of hands-on experience in credit risk, financial modelling, or data analytics.
Solid grasp of the

credit lifecycle , scoring methodologies, and regulatory compliance.
Proficient in

Python, R, SQL , or other statistical programming tools.
Experience with fintech or fast-paced, data-heavy environments is a bonus.
Knowledge of machine learning frameworks is an advantage.

Youll Thrive If You Are:
A critical thinker with a natural curiosity for data and trends.
Detail-obsessed with a passion for precision and model integrity.
A clear communicator who can translate numbers into narratives.
Highly organised, proactive, and able to juggle multiple projects at once.
Driven to make a measurable business impact using cutting-edge modelling.

Why This Role Rocks:
Youll work with a team that values

data-driven decisions and innovation.
Build and influence

end-to-end risk strategies

for a growing credit portfolio.
Be part of a dynamic environment that encourages

continuous learning and fresh ideas.
Enjoy a culture that rewards ownership, agility, and collaboration.