Role Summary / Purpose
Pricing & Portfolio Insight Product Owner is a key role within our insurance company, responsible for utilizing sophisticated techniques, such as Generalized Linear Models (GLMs), to develop accurate loss cost models for pricing and portfolio management purposes
This position requires a deep understanding of actuarial concepts, strong statistical modelling skills, and the ability to provide data-driven insights to support strategic decision-making
This Product Owner is responsible for conducting robust quantitative and statistical analysis of our insurance product offerings and portfolio
Squad: Pricing & Portfolio Insight
Responsible for the running of the Pricing & Portfolio Insight Squad.
The squad involves leveraging complex data sets to identify trends, patterns and insights that serve to improve product performance, optimize portfolio management and inform strategic decision-making
The Product Owner will collaborate closely with various stakeholders including underwriting, actuarial, risk management and the executive team, assisting in driving evidence-based decisions, promoting profitability and enabling efficient portfolio management
Key Responsibilities / Accountabilities
Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment
Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs
Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management
Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals
Enhance loss cost models over time by incorporating new data sources, refining variables, and exploring innovative modelling techniques
Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed
Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports
Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations
Bachelor’s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics
Related practical experience, preferably in commercial insurance sector
Strong proficiency in statistical modelling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python
Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies
Familiarity with insurance industry regulations, standards, and best practices
Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.
Experience of using AI within daily ways of working
Ability to provide hands-on direction and day-to-day execution ownership in a multidisciplinary team
Relevant knowledge and understanding of business objectives to align with product vision
Demonstrated ability to think both strategically and tactically
Excellent communication and presentation skills; comfortable in engaging with senior leadership
Ability to effectively identify and manage needs of a broad range of stakeholders
Ability to juggle multiple priorities and handle unexpected challenges that arise within projects, adapting quickly and effectively
Strong self-motivator with a contagious ability to spread energy to team
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