Quantitative Analyst

Acumen Group; Johannesburg; Vor Ort; ZAR 1.200.000 - 2.100.000; Vollzeit

Zusammenfassung

Acumen Group in Johannesburg seeks a Senior Manager: Quantitative Analytics, Product Economics & Fund Analytics to lead advanced analytics supporting pricing, profitability, forecasting and fund sustainability.

You will build quantitative models, financial frameworks and analytical methodologies to translate data into actionable insights for pricing, product design and strategic decision-making, while providing leadership across the modelling lifecycle and engaging with Finance, Product,

Qualifikationen

• Degree in Mathematics, Statistics, Economics, Actuarial Science, Data Science, Quantitative Finance, Engineering or another relevant quantitative discipline.
• Strong quantitative and analytical foundation.
• Advanced SQL capability.
• Advanced Excel and financial modelling capability.

Aufgaben

• Develop advanced quantitative and statistical models to support strategic and commercial decision-making.
• Develop forecasting models for revenue, claims, utilisation, costs, profitability and fund performance.
• Quantify financial impact of pricing, product design, customer behaviour and operating assumptions.
• Lead development of product economics and profitability models and unit economics frameworks.
• Provide quantitative analysis and recommendations to senior management and Exco.

Kenntnisse

Advanced analytics

SQL

Forecasting

Pricing analytics

Leadership

Data modelling

Python/R

Ausbildung

Degree in Mathematics/Statistics/Economics/Actuarial/Data Science

Tools

Python

R

Excel

Jobbeschreibung

Job Purpose

The Senior Manager: Quantitative Analytics, Product Economics & Fund Analytics is responsible for leading advanced quantitative, financial and commercial analytics to support product strategy, pricing, profitability, forecasting and fund sustainability.

The role is responsible for developing and implementing quantitative models, financial frameworks and analytical methodologies that enable the business to understand product economics, forecast future performance, assess risk, optimise pricing and evaluate the commercial viability of existing and new products and ventures.

The incumbent will combine strong quantitative and statistical expertise, advanced SQL capability, financial modelling and commercial acumen to transform complex data into actionable insights and strategic recommendations.

The role will provide analytical leadership across the full modelling lifecycle, including data preparation, model development, statistical analysis, forecasting, scenario modelling, financial evaluation, validation and communication of results.

The role will also provide leadership and technical direction to analysts, while acting as a subject-matter expert to Finance, Product, Commercial, Operations and senior management.

Key Responsibilities

• Develop advanced quantitative and statistical models to support strategic and commercial decision-making.


• Develop forecasting models for revenue, claims, utilisation, costs, profitability and fund performance.


• Apply appropriate statistical methodologies to identify trends, relationships, drivers and emerging risks.


• Develop scenario, sensitivity and stress-testing models.


• Quantify the financial impact of changes in pricing, product design, customer behaviour, claims experience and operating assumptions.


• Develop analytical frameworks where existing methodologies or historical data are insufficient.


• Continuously evaluate and improve model methodologies, assumptions and performance.


• Ensure models are appropriately documented, validated and maintained.


• Translate complex quantitative analysis into clear commercial recommendations


• Lead the development of product economics and profitability models.


• Develop unit economics frameworks for products, channels, customer segments and propositions.


• Evaluate the commercial viability and financial sustainability of new products, propositions and business ventures.


• Develop financial models incorporating revenue, pricing, claims, commissions, acquisition costs, operating expenses and other relevant financial drivers.


• Assess product contribution, margin and profitability throughout the product lifecycle.


• Develop business cases and financial models to support investment and strategic decisions.


• Identify key economic and commercial drivers of product performance.


• Assess the impact of alternative product structures, benefits, pricing and cost assumptions.


• Develop and maintain quantitative pricing methodologies for warranty, service, maintenance and other value-added products.


• Analyse claims experience, frequency, severity, utilisation, duration and other risk factors to inform pricing.


• Develop risk-based pricing frameworks that balance risk, competitiveness, penetration and profitability.


• Perform pricing elasticity and sensitivity analysis.


• Evaluate the financial impact of pricing changes, campaigns and promotional strategies.


• Develop pricing models for new products and product extensions where historical experience may be limited.


• Monitor actual pricing performance against expected outcomes.


• Identify opportunities to optimise pricing and improve product profitability.


• Provide quantitative recommendations on pricing strategy to senior management


• Lead quantitative analysis of product and fund performance.


• Develop models to forecast fund income, claims, costs, utilisation and profitability.


• Analyse actual versus expected fund performance and investigate key variances.


• Develop fund budgets and financial forecasts.


• Assess the sustainability and financial performance of product funds.


• Analyse emerging claims and cost trends and quantify their potential financial impact.


• Prepare analytical information and supporting models for external fund valuators and auditors.


• Support Finance and Fund Committees with quantitative analysis and recommendations.

Data & Advanced SQL Analytics

• Advanced SQL capability is a core requirement of the role.


• Develop and maintain complex SQL models and analytical datasets.


• Write efficient and scalable SQL queries using advanced joins, CTEs, window functions, aggregations and transformations.


• Develop data models supporting product, pricing, financial and fund analytics.


• Analyse large and complex datasets to identify commercial and financial insights.


• Automate recurring analytical and reporting processes.

Leadership & Strategic Advisory

• Lead, manage and develop a team of analysts.


• Provide technical guidance on quantitative modelling, statistics, SQL, financial modelling and analytics.


• Establish analytical standards, methodologies and best practices.


• Coach team members and support their technical and professional development.


• Act as a quantitative subject-matter expert to senior management and Exco.


• Influence decision-making through robust financial and analytical insight.

Education

• Degree in Mathematics, Statistics, Economics, Actuarial Science, Data Science, Quantitative Finance, Engineering or another relevant quantitative discipline.


• Strong quantitative and analytical foundation.


• Advanced SQL capability.


• Advanced Excel and financial modelling capability.

Advantageous

• Qualification in Statistics, Actuarial Science, Data Science, Financial Mathematics, Economics, Engineering or Quantitative Finance.


• Professional qualification or certification in data analytics, financial modelling, statistics or a related field.

Experience, Knowledge & Skills

Quantitative & Technical

• 7+ years' relevant experience in quantitative analytics, data analytics, pricing, financial analytics, risk analytics, product analytics, actuarial analytics or a related field.


• Strong knowledge of statistical and quantitative methodologies.


• Proven experience developing forecasting and predictive models.


• Advanced SQL – essential.


• Experience working with large and complex datasets.


• Experience with Python, R or another statistical programming language.


• Experience with scenario modelling, sensitivity analysis and forecasting.


• Strong understanding of product economics and profitability.


• Experience with pricing analytics and/or risk-based pricing.


• Experience with unit economics.


• Experience developing business cases and financial models.


• Experience with budgeting and forecasting.


• Strong understanding of revenue, cost, margin and profitability drivers.


• Ability to assess commercial viability of new products or ventures.

Leadership

• Experience leading and developing analysts.


• Strong stakeholder management capability.


• Strong written and verbal communication skills.


• Strong presentation skills, particularly with senior management and Exco.