Pricing & Portfolio Insight Product Owner

Chubb; City of Westminster; On-site; GBP 50,000 - 70,000; Full time

Job summary

An insurance company based in the City of Westminster is looking for a Pricing & Portfolio Insight Product Owner. The candidate will run a squad focused on analyzing data to enhance product performance and portfolio management. Responsibilities include developing loss cost models, collaborating with stakeholders, and providing insights for strategic decisions. Applicants should have a strong analytical background and experience in statistical modeling, with proficiency in tools like R and Python. This role offers the chance to drive impactful decisions in the insurance domain.

Qualifications

• Excellent analytical and problem-solving skills to translate data into insights.
• Bachelor's in Data Science, Actuarial Science, Statistics, or Mathematics.
• Practical experience in the commercial insurance sector preferred.

Responsibilities

• Run the Pricing & Portfolio Insight Squad to improve product performance.
• Develop and maintain loss cost models using GLMs and statistical techniques.
• Collaborate with various stakeholders for evidence-based decisions.

Skills

Analytical and problem-solving skills

Statistical modelling techniques

Data analysis

Communication and presentation skills

Education

Bachelor's degree in a quantitative field

Tools

R

SAS

Python

Qliksense

Power BI

Alteryx

Job description

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.

Responsibilities

• 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.
• 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.

Qualifications

• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Bachelor's degree (or equivalent) 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‑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.