Senior Manager: Quantitative Analytics

Motus Corporation; Gauteng; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

LiquidCapital in Edenvale seeks a Senior Manager: Quantitative Analytics to lead advanced quantitative and statistical modelling across product economics, pricing and fund performance. You will develop models, forecast outcomes and provide clear commercial recommendations to senior management.

The role requires strong SQL, Python or R skills, leadership of analysts, and collaboration with Finance, Product and Risk teams to drive profitability and strategic decisions.

Qualifications

• 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.

Responsibilities

• Develop advanced quantitative models for strategic and commercial decision-making.
• Forecast 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

Skills

Quantitative analytics

Pricing analytics

Forecasting

Financial modelling

Data analytics

Stakeholder management

Executive communication

Team leadership

Education

Mathematics

Statistics

Economics

Actuarial Science

Data Science

Engineering

Honours

Postgraduate qualification

Tools

SQL

Python

R

Job description

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.

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.

OTHER REQUIREMENTS:

• Criminal and credit clear
• Reliable or own transport