Job Description

PURPOSE & JOB DESCRIPTION:

The Executive: Product Performance Analysis & Costing is a key member of the leadership team, accountable for the strategic oversight of value-added product funds across the Group. The role provides executive-level guidance on

financial modelling, costing structures, and product financial performance

to ensure sustainability, transparency, and profitability. This position partners closely with the Executive Team and Board to influence strategic decision-making and safeguard stakeholder value.

EXPERIENCE, KNOWLEDGE, SKILLS AND ATTRIBUTES REQUIRED:

Technical Skills:

Advanced expertise in

financial modelling, forecasting, and scenario analysis

Strong knowledge of

costing methodologies, building costing models, product portfolio administration frameworks, and performance measurement

Proficiency in

financial management systems, ERP, and BI/reporting tools

Skilled in

pricing strategies, and risk-adjusted decision-making

Experience:

Minimum

8-10 years' senior finance or product performance and analysis experience

, with at least

2 years in an executive or Exco role

Proven leadership in analysing performance of

large-scale product funds, costing structures, or financial planning operations

Demonstrated track record of

engaging at Board level

and influencing strategic decisions Experience in

Product financial performance analysis or financial services

industries preferred Good current day knowledge of IFRS relevant to funds Strong track record in

leading high-performing teams

, driving organisational change, and implementing best-practice financial governance

Soft & Leadership Skills:

Exceptional

strategic thinking, commercial acumen, and decision-making ability

Strong

executive presence

and communication skills, with the ability to engage diverse stakeholders Collaborative leader who inspires trust, accountability, and results High integrity, resilience, and adaptability in complex, changing environments Critical thinking and inquisitive nature An entrepreneurial spirit Strong analytical ability to interpret financial information, attention to detail Strong verbal and written communication

DUTIES / KEY RESPONSIBILITIES:

Strategic Leadership & Decision Support:

Provide

executive oversight

of all financial modelling, product performance analysis, and costing frameworks Shape and drive the

long-term financial strategy

for

product

performance

Serve as the

trusted advisor

to the MD, Exco, and Board on product performance financial matters, pricing strategies Lead evaluation of new product or channel opportunities

Governance, Risk & Compliance:

Ensure robust

governance, controls, and reporting

frameworks for all products under management Oversee compliance with all

regulatory, statutory, and contractual obligations

Contribute to

finance and fund committees

related to product performance

Financial Oversight & Performance:

Set

costing strategies and principles

to ensure fairness, accuracy, and alignment with business objectives Monitor and report on product profitability, performance indicators, and sustainability metrics Present

product performance reports and insights

to the Exco and Board, highlighting risks and opportunities

Stakeholder Engagement:

Act as the

primary liaison

for product-related financial matters with external stakeholders, regulators, auditors, and partners Ensure clear, transparent communication to members, clients, and business partners

Leadership & People Management:

Lead and develop a

high-performing team

Drive a culture of excellence, accountability, and continuous improvement Mentor managers to build succession and long-term capability in product analysis and costing

EDUCATION:

Education and Professional Qualifications:

Postgraduate qualification in

Applied statistics and/or Applied mathematics

,

Data Science, Financial Engineering/Quantitative Finance

or similar essential Chartered Accountant CA(SA), CFA, CIMA, MBA, or equivalent professional qualification advantageous Executive leadership will be an advantage

Technical skills and data engineering (beyond basic SQL, R, or Python):

SQL for data management

: writing complex queries to extract and transform data, including using advanced functions, and improving performance so large queries run efficiently

Working with data and statistics in Python

: handling and cleaning large datasets, performing numerical and scientific calculations, running statistical tests, building predictive models, training machine learning algorithms, analysing survival data, making time-series forecasts, and keeping track of experiments and model versions

Working with data and models in R

: manipulating and summarizing data efficiently, preparing data for analysis, building machine learning workflows, producing forecasts, and fitting flexible statistical models

Big data and workflow management

: analysing very large datasets with distributed tools, setting up automated data pipelines that move and transform data reliably, using version control and automated testing to keep projects consistent, and deploying models in ways that allow them to be monitored, tracked, and updated at scale

Business intelligence and reporting:

creating dashboards and interactive visualizations that make results understandable to non-technical audiences and connecting those dashboards to live data sources

Containers and reproducible environments:

packaging models and applications so they can run the same way on different machines, making them easier to test, share, and deploy

Costing and value proposition analytics:

Unit economics:

analysing customer acquisition cost, lifetime value, churn/retention patterns, cross-sell impacts, and payback times

Pricing and profitability:

estimating customer sensitivity to price changes, testing scenarios and stress cases, and measuring profitability across channels, partners, or products

Fraud and abuse detection

: identifying unusual or suspicious behaviour using anomaly detection, graph-based methods, rule systems, and machine learning

OTHER REQUIREMENTS:

Criminal and credit clear Own and live up to Company values Attend training initiatives to improve work quality and enhance own skills * Own or reliable transport