Senior Quantitative Analyst

Acumen Group; Johannesburg; On-site; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Acumen Group in Johannesburg seeks a Senior Manager: Quantitative Analytics to oversee advanced modelling, pricing analytics, product economics, profitability and fund analytics. You will shape strategy, assess viability, and deliver insights to senior leadership.

The role requires 7+ years in quantitative analytics, strong SQL, Python or R skills, and proven leadership. You will collaborate with Finance, Product, and Commercial teams to drive decision-making.

Qualifications

• 7+ years' experience in quantitative analytics, pricing analytics, financial analytics, risk analytics, actuarial analytics, data science, or a related field.
• Advanced SQL skills (essential).
• Strong statistical modelling, forecasting, and predictive analytics experience.
• Experience with Python or R for analytics.
• Excellent stakeholder management and communication skills.
• Experience leading analytical teams.

Responsibilities

• Lead development of advanced quantitative, statistical, and forecasting models.
• Analyse revenue, claims, utilisation, profitability, costs, and fund performance trends.
• Develop scenario, sensitivity, and stress-testing models to support strategic decision-making.
• Build and maintain product economics, profitability, and unit economics frameworks.
• Evaluate the commercial viability and sustainability of new products, propositions, and ventures.
• Develop business cases and financial models to support investment and growth initiatives.
• Lead pricing analytics and risk-based pricing methodologies.
• Analyse claims experience, customer behaviour, utilisation patterns, and key risk drivers.
• Assess the impact of pricing changes, product enhancements, and commercial strategies.
• Forecast fund income, claims, costs, profitability, and performance outcomes.
• Conduct variance analysis and identify key drivers of financial performance.
• Develop and maintain advanced SQL models, analytical datasets, and reporting frameworks.
• Analyse large and complex datasets to uncover commercial and financial insights.
• Automate recurring analytical and reporting processes.
• Partner with Finance, Product, Commercial, and Executive stakeholders to influence business decisions.
• Lead, mentor, and develop a high-performing analytics team.

Skills

Leadership

Stakeholder management

Forecasting

Statistical modelling

Pricing analytics

Product economics

Team development

Communication

Education

Bachelor's degree in Mathematics/Statistics/Economics/Actuarial Science/Data Science/Quantitative Finance/Engineering

Tools

SQL

Python

R

Excel

Job description

Role: Quantitative Analyst (Product Economics & Fund Analytics)

Location: Johannesburg

Our client, a leading financial services organisation, is seeking an experienced Senior Manager: Quantitative Analytics, Product Economics & Fund Analytics to lead advanced quantitative modelling, pricing analytics, product economics, profitability analysis, and fund sustainability initiatives.

This opportunity is ideal for a commercially minded analytics leader with strong expertise in quantitative modelling, financial analytics, pricing, forecasting, and data-driven decision-making. The successful candidate will play a key role in shaping product strategy, assessing commercial viability, and providing strategic insights to senior leadership.

Key Responsibilities:

• Lead the development of advanced quantitative, statistical, and forecasting models
• Analyse revenue, claims, utilisation, profitability, costs, and fund performance trends
• Develop scenario, sensitivity, and stress-testing models to support strategic decision-making
• Build and maintain product economics, profitability, and unit economics frameworks
• Evaluate the commercial viability and sustainability of new products, propositions, and ventures
• Develop business cases and financial models to support investment and growth initiatives
• Lead pricing analytics and risk-based pricing methodologies
• Analyse claims experience, customer behaviour, utilisation patterns, and key risk drivers
• Assess the impact of pricing changes, product enhancements, and commercial strategies
• Forecast fund income, claims, costs, profitability, and performance outcomes
• Conduct variance analysis and identify key drivers of financial performance
• Develop and maintain advanced SQL models, analytical datasets, and reporting frameworks
• Analyse large and complex datasets to uncover commercial and financial insights
• Automate recurring analytical and reporting processes
• Partner with Finance, Product, Commercial, and Executive stakeholders to influence business decisions
• Lead, mentor, and develop a high-performing analytics team

Requirements:

• Degree in Mathematics, Statistics, Economics, Actuarial Science, Data Science, Quantitative Finance, Engineering, or a related quantitative discipline
• 7+ years' experience in quantitative analytics, pricing analytics, financial analytics, risk analytics, actuarial analytics, data science, or a related field
• Advanced SQL skills (essential)
• Strong statistical modelling, forecasting, and predictive analytics experience
• Advanced Excel and financial modelling capability
• Experience working with large and complex datasets
• Experience with Python, R, or similar statistical programming languages
• Strong understanding of product economics, profitability, pricing, and unit economics
• Experience developing business cases, forecasting models, and commercial analytics frameworks
• Proven leadership experience managing and developing analytical teams
• Excellent stakeholder management, communication, and presentation skills