We are seeking a highly analytical Quantitative Risk Analyst to develop data-driven approaches for identifying, measuring, and monitoring financial and operational risks across digital financial services. The role is ideal for a mathematically capable professional interested in applying statistical modelling and quantitative techniques to complex fintech environments.

Key Responsibilities

• Develop quantitative models for financial and operational risk assessment.
• Analyse large datasets to identify patterns, anomalies, and emerging risk indicators.
• Perform scenario analysis, sensitivity testing, and risk forecasting.
• Build quantitative frameworks supporting informed financial decisions.
• Monitor model performance and recommend methodological improvements.
• Collaborate with risk, finance, data science, technology, and business teams.
• Produce detailed risk analytics and management reports.
• Support the development of automated risk-monitoring capabilities.
• Investigate unusual movements within financial datasets.
• Contribute to enterprise-wide risk measurement and reporting frameworks.

Qualifications & Experience

• Degree in Mathematics, Statistics, Economics, Finance, Data Science, Engineering, or a related quantitative discipline.
• Experience in quantitative analysis, risk analytics, financial modelling, or fintech.
• Strong knowledge of statistical and analytical methodologies.
• Proficiency with data-analysis tools and quantitative modelling techniques.
• Excellent problem-solving and critical-thinking abilities.
• Strong attention to accuracy, methodology, and data integrity.

What We Offer

• A technically sophisticated role at the intersection of finance, mathematics, and technology.
• Opportunities to work with advanced analytical methodologies.
• Continuous professional development.
• Exposure to complex fintech risk and decision-making environments.