Product and Pricing Specialist
Motus Holdings Limited · Gauteng
Stop applying one at a time.
JobAlertsZA auto-applies to South African jobs like this one for you, overnight. Upload your CV once — we do the applying.
Start free — we apply for you →JOB DESCRIPTION
- The Product and Pricing specialist is a senior technical specialist responsible for building and leading pricing analytics, predictive modelling, portfolio analytics, and decision-science capabilities.
- The role translates complex data claims, financials, customer behaviour, and operational data into actionable insights that support pricing, product profitability, and strategic decision-making.
KEY RESPONSIBILITIES
- Lead pricing analytics, including claims frequency/severity, cost drivers, sensitivity analysis, and profitability reviews
- Develop and maintain statistical and predictive models e.g., GLM/GAM for risk segmentation, customer behaviour, retention, and financial performance
- Apply optimisation, simulation, and scenario modelling to improve pricing, operations, and portfolio outcomes
- Build portfolio monitoring dashboards and early-warning indicators to track performance, risks, and model drift
- Support dynamic pricing and decision engines, including model inputs, rules, and monitoring frameworks
- Ensure all models and analyses are well-documented, reproducible, explainable, and aligned with governance standards
- Translate technical outputs into clear recommendations for business stakeholders and decision forums
- Collaborate with Product, Finance, Claims, Technology, and external partners to embed analytics into business processes
- Support knowledge transfer and internal capability building
EDUCATION AND EXPERIENCE
- Postgraduate degree in Data Science, Statistics, Mathematics, Actuarial Science, or related field
- 6–10 years' experience in data science, pricing analytics, actuarial modelling, or decision science preferably in financial services/insurance
- Experience with predictive modelling, optimisation techniques, and real-world data challenges
- Strong skills in Python, SQL, statistical modelling, and data visualisation e.g., Power BI
- Solid understanding of model governance, validation, and business application of analytics
SKILLS AND PERSONAL ATTRIBUTES REQUIRED
- Strong commercial acumen and problem-solving ability
- Ability to translate complex analytics into business decisions
- Effective stakeholder communication and collaboration
- High standards of governance, documentation, and ethical data use
- Clear credit and criminal record
- Own and live up to company values
Closing Date 26 August 2026