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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.
