Senior Manager: Quantitative

SET Recruitment Consultants; Gauteng; Presencial; ZAR 1 200 000 - 1 800 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical Aid

Retirement Fund

Discretionary Annual Bonus

Resumo da oferta

SET Recruitment Consultants in Edenvale, SA invites applications for a Senior Manager: Quantitative Analytics. You will lead quantitative analytics, product economics, pricing and fund analytics, building advanced models to guide strategic decisions and drive profitability across insurance-like offerings.

Role requires leadership of a team of analysts, strong SQL and Python/R skills, and deep knowledge of financial/services analytics.

Qualificações

• Essential: Degree in Mathematics, Statistics, Economics, Actuarial Science, Data Science, Quantitative Finance, Engineering.
• Advantageous: Honours or postgraduate qualification in a quantitative discipline.
• Advantageous: Professional qualification or certification in data analytics, financial modelling, statistics or a related field.

Responsabilidades

• 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.

Conhecimentos

Quantitative analytics

Statistical modelling

Data analysis

Forecasting

Commercial acumen

Executive communication

Problem solving

Team leadership

Formação académica

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

Honours or postgraduate qualification (advantageous)

Professional qualification in analytics/financial modelling (advantageous)

Ferramentas

SQL

Python

R

Descrição da oferta de emprego

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:

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.