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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing advanced risk and pricing models using mathematics and machine learning, with a strong foundation in statistics and Python programming. Proven ability to lead cross-functional initiatives and influence strategic business decisions through analytical insights.
Highest-signal resume keywords
Advanced Risk ModellingMachine LearningPython ProficiencyStakeholder ManagementAnalytical Project Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
MathematicsStatisticsProbabilityData ScienceOptimization TechniquesAnalytical ThinkingOperational ResearchModel MonitoringPerformance Optimisation
Soft Skills
Excellent CommunicationProactive MindsetCuriosityInnovative ThinkingOwnership
Industry Keywords
InsurancePricingRisk ModellingData-Intensive IndustriesTech-Driven Companies
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop advanced risk and pricing models using mathematics, machine learning and optimization techniques for real-time insurance pricing
- Translate complex data into actionable insights influencing strategic decisions and measurable business impact
- Lead high-impact initiatives end to end, from identifying business opportunities and defining analytical strategies to delivering scalable solutions
- Coordinate the work of multiple contributors
- Act as a leader within the team, shaping culture and promoting best practices
- Mentor colleagues and influence key business and technical decisions
- Collaborate with Engineering, Underwriting and Business teams to develop scalable solutions
- Challenge existing approaches and drive successful implementation
- Help shape Prima's motor insurance strategy and strengthen its competitive edge
- Use mathematics, analytical thinking, machine learning, operational research and business acumen to predict risk and set sustainable prices
Requirements
What you’ll need- Strong academic background in a quantitative STEM field, such as Mathematics, Physics, Statistics, Engineering, Computer Science or Data Science
- 3–7 years' relevant professional experience, with a proven track record of independently leading complex analytical or data science projects
- Excellent analytical and technical skills
- Solid foundation in statistics, probability, machine learning and advanced modelling
- Strong Python proficiency and ability to write robust, maintainable code
- Excellent communication and stakeholder management skills
- Ability to influence business decisions, challenge assumptions constructively and communicate effectively in English
- Proactive, curious and innovative mindset
- Strong sense of ownership and drive to challenge the status quo
- Continuous focus on learning, improving and delivering business impact
- Ambition and potential to progress quickly into senior leadership roles
- Nice-to-have: Experience in insurance, pricing, risk modelling or related data-intensive industries
- Nice-to-have: Experience working in tech-driven companies or leading analytical consulting firms
- Nice-to-have: Experience deploying and maintaining machine learning models in production, including model monitoring and performance optimisation
- Nice-to-have: Proven ability to lead cross-functional initiatives, coordinate stakeholders and drive projects from conception through measurable business outcomes
Benefits
Comp & perks- Learning resources
- Mentorship
- Growth plan tailored to you
- Private healthcare
- Gym discounts
- Wellbeing programs
- Mental health support