Senior Manager in actuarial pricing and data science at QBE, driving Motor pricing strategy and analytics across markets. Collaborating with stakeholders to enhance decision-making through innovative data-led solutions.
Responsibilities
Own the end‑to‑end Group Motor pricing strategy across all markets, covering both Personal and Commercial Motor.
Define and maintain Group pricing frameworks, standards, methodologies and governance, ensuring consistency with appropriate local flexibility.
Act as the Group pricing authority for Motor, providing oversight, challenge and support on complex or contentious pricing matters.
Provide technical leadership on portfolio rate reviews, repricing exercises and material changes to rating structures, assumptions or methodologies.
Support differentiated pricing strategies for Personal and Commercial Motor, reflecting distinct market dynamics and risk profiles.
Partner closely with underwriting leadership to align pricing strategy, risk appetite and underwriting authorities.
Lead the Group data science agenda for Motor and Specialty pricing, identifying and prioritising advanced analytics initiatives that deliver commercial value.
Sponsor and steer initiatives including predictive modelling, machine learning, alternative data and telematics‑based pricing where appropriate.
Establish and maintain Group‑level portfolio performance monitoring, providing insight on loss ratio, rate change, mix, claims inflation and emerging risks.
Ensure compliance with pricing governance, model risk management and regulatory requirements, and present recommendations to senior management and global committees.
Requirements
Experience working in Motor pricing within general insurance, with a strong understanding of pricing, underwriting and portfolio performance.
Demonstrable experience applying data science or advanced analytics techniques to insurance problems, including working with large datasets and developing analytical models.
Strong analytical and numerical skills, with the ability to interpret complex data and translate insights into practical business recommendations.
Proficiency in Excel and other analytical tools, with experience using programming languages such as Python to support modelling and analysis.
Strong communication skills, with the ability to build effective relationships and influence stakeholders at different levels of the organisation.
An actuarial qualification, or working towards qualification, with a commitment to continuous learning and professional development.
Benefits
30 days holiday a year with the option to buy up to 2 additional days.
Flexible working - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours.
Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.
Private medical insurance – we fund fully comprehensive private medical cover for you and all the family.
Family friendly policies – we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent.
Short term remote work abroad - you can request up to 20 days per year to work remotely from certain locations abroad.
Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes.
Cycle-to-Work – benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000.
Job title
Senior Manager, Actuarial Pricing and Data Science
Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
Data Scientist Analyst at BBVA transforming complex data into strategic solutions using machine learning. Collaborating within Banking Ops team to improve operational efficiency and customer experience.
Data Scientist leading key analytical projects at BBVA AI Factory in Madrid. Collaborate with multidisciplinary teams to drive data - driven solutions for banking processes.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Data Assessor employing machine learning methods to enhance business relationships. Focused on deriving insights and applying data science principles to improve user experience.
Data Science Specialist leading predictive modeling initiatives to support product innovation at Nestlé Nutrition. Collaborating with cross - functional teams to translate complex data into actionable insights.
BI & Visualization Developer at Conduent working on advanced visualizations and supporting analytics solutions. Collaborating with cross - functional teams and mentoring associates in a hybrid environment.
Lead Data Scientist providing data science expertise and technical leadership for Caterpillar aftermarket parts forecasting. Managing complex analytics processes and ensuring accurate insights generation for critical business decisions.