Senior Manager: Quantitative Analytics

JOB DESCRIPTION:

LiquidCapital is a well-established 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 across LiquidCapital.
• 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.

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

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  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

• 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.

• 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.

• Criminal and credit clear
• Reliable or own transport