JOB DESCRIPTION / PROFILE

POSITION TITLE: Senior Manager: Quantitative Analytics

DEPARTMENT: Finance / Actuarial Services

ACCOUNTABLE TO: Executive: Product Performance Analysis & Costing

INDUSTRY: Financial Service

POSITION TYPE: Permanent

SALARY: Market related

BENEFITS: Medical Aid 50/50, Retirement Fund, Discretionary Annual Bonus

JOB DESCRIPTION:

Financial Services Company based in Edenvale. We are seeking a Senior Manager: Quantitative Analytics to join our dynamic team.

The successful candidate will be responsible for:

· Leading advanced quantitative, financial and commercial analytics to support product strategy, pricing, profitability, forecasting and fund sustainability.

· Developing quantitative models, financial frameworks and analytical methodologies that enable the business to understand product economics, forecast performance, assess risk, optimise pricing and evaluate commercial viability.

· Providing analytical leadership across data preparation, model development, statistical analysis, forecasting, scenario modelling, financial evaluation, validation and communication of results.

· Leading and developing analysts while acting as a subject-matter expert to Finance / Actuarial Services, Product, Commercial, Operations and senior management.

DUTIES / KEY RESPONSIBILITIES:

QUANTITATIVE ANALYTICS & STATISTICAL MODELLING:

· Develop advanced quantitative and statistical models for strategic and commercial decision-making.

· Develop forecasts for revenue, claims, utilisation, costs, profitability and fund performance.

· Apply statistical methods to identify trends, relationships, drivers and emerging risks.

· Develop scenario, sensitivity and stress-testing models.

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

· Develop analytical frameworks where methodologies or historical data are insufficient.

· Continuously evaluate, document, validate and improve model methodologies, assumptions and performance.

· Translate complex quantitative analysis into clear commercial recommendations

PRODUCT ECONOMICS & COMMERCIAL MODELLING:

· Lead product economics, profitability and unit-economics modelling across products, channels, customer segments and propositions.

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

· Develop financial models incorporating revenue, pricing, claims, commissions, acquisition costs and operating expenses.

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

· Develop business cases and models for investment and strategic decisions.

· Assess alternative product structures, benefits, pricing and cost assumptions and provide quantitative input into product design.

PRICING & RISK ANALYTICS:

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

· Analyse claims frequency, severity, utilisation, duration and other risk factors.

· Develop risk-based pricing frameworks balancing risk, competitiveness, penetration and profitability.

· Perform pricing elasticity and sensitivity analysis and evaluate pricing changes, campaigns and promotions.

· Develop pricing models where historical experience may be limited and monitor actual versus expected performance.

· Recommend pricing actions that optimise profitability.

FUND ANALYTICS, FORECASTING & FINANCIAL PERFORMANCE

· Lead quantitative analysis of product and fund performance.

· Forecast fund income, claims, costs, utilisation and profitability and investigate actual-versus-expected variances.

· Develop fund budgets, financial forecasts and short-, medium- and long-term projections.

· Assess fund sustainability and quantify emerging claims, cost and financial risks.

· Prepare supporting analysis for external fund valuators, auditors and Fund Committees.

· Model alternative scenarios and identify risks to budgets and forecasts.

DATA, SQL & ANALYTICS AUTOMATION

· Advanced SQL capability is essential. Develop and maintain complex SQL models and analytical datasets.

· Write scalable queries using advanced joins, CTEs, window functions, aggregations and transformations.

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

· Validate data integrity, investigate anomalies and translate business requirements into robust analytical structures.

· Review, optimise and maintain SQL models and automate recurring analytical and reporting processes.

· Use Python, R or other analytical technologies where appropriate and partner with BI/Data teams to productionise solutions.

· Ensure analytical processes are efficient, scalable, documented and governed.

PRODUCT PERFORMANCE & NEW VENTURES

· Develop frameworks to monitor sales, penetration, utilisation, claims, revenue, cost and profitability.

· Identify drivers of performance and quantify improvement opportunities across products, segments and channels.

· Monitor results against plans, budgets and strategic targets and recommend actions.

· Develop financial and quantitative models for new ventures, including revenue, cost, investment, break-even, sensitivity and scenario analysis.

· Assess unit economics, scalability, risks and potential returns and support investment and go/no-go decisions.

LEADERSHIP & STRATEGIC ADVISORY

· Lead, manage and develop a team of analysts.

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

· Review analytical outputs for accuracy, quality and commercial relevance and establish standards and best practices.

· Allocate work, coach team members and build a high-performance analytical culture.

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

· Translate strategic questions into analytical frameworks, challenge assumptions and influence decisions through evidence.

· Partner with Finance / Actuarial Services, Product, Operations, Risk, Sales and Commercial teams

EDUCATION:

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

· Advantageous: Honours or postgraduate qualification in a quantitative discipline.

· Advantageous: Professional qualification or certification in data analytics, financial modelling, statistics or a related field.

EXPERIENCE, KNOWLEDGE AND SKILLS REQUIRED:

· Quantitative, commercial, product, pricing, risk, financial or actuarial analytics.

· Data science, decision science, revenue management, profitability analytics or financial modelling.

· Corporate Finance / FP&A, management consulting, insurance, banking, financial services or FinTech.

· Automotive / Mobility, warranty and service-plan businesses.

· Advanced quantitative modelling, statistical methodologies, SQL, data analytics and financial modelling.

· Advanced product economics, pricing analytics, forecasting, commercial acumen, strategic thinking and fund analytics.

· Strong business-case development, people management, stakeholder management and executive communication.

· Commercially and strategically minded; quantitatively rigorous; curious and intellectually driven.

· High attention to detail, integrity and accountability, with the ability to simplify complex problems.

· Collaborative, results-oriented, self-directed and comfortable operating under pressure and ambiguity.