Quantitative Analyst

What you'll be doing:

• Conduct end-to-end model validations across multiple risk and business domains
• Build challenger models to assess model performance, robustness, and accuracy
• Evaluate model governance, assumptions, methodologies, and implementation
• Analyse large datasets to identify trends, risks, and opportunities
• Perform predictive modelling and statistical analysis
• Validate credit risk, financial, fraud, and behavioural models
• Collaborate with model developers and business stakeholders to ensure models remain fit-for-purpose
• Contribute to strong risk management practices and regulatory compliance

 
What we're looking for:

• Minimum 3–6 years of experience in credit risk modelling and scorecard development
• Strong exposure to application and behavioural scorecards
• Experience in scorecard validation, monitoring, and performance tracking
• Proven predictive modelling and data mining capability
• Solid understanding of the end-to-end credit lifecycle
• Strong statistical and analytical problem-solving skills
• Ability to communicate complex findings to both technical and non-technical stakeholders

 
Qualifications:

• Degree in Mathematics, Statistics, Actuarial Science, Data Science, Quantitative Finance, or a related quantitative field
• Honours degree or postgraduate qualification highly advantageous

 
You'll thrive in this role if you are:

• Passionate about analytics and modelling
• Naturally curious and detail-oriented
• Comfortable with challenging assumptions and methodologies
• Skilled at translating data into meaningful insights
• Able to balance technical rigour with commercial understanding
• Motivated by solving complex business problems

 
This is an outstanding opportunity for a quantitative professional looking to work on high-impact modelling initiatives while expanding their exposure across risk, predictive analytics, and model governance.
 
Interested? Let's connect.
 
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