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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing digital pricing models for algorithmic underwriting, with strong capabilities in predictive modeling, Python, SQL, and adherence to best practices in pricing processes. Proven ability to communicate complex actuarial concepts effectively and mentor team members while driving results in a collaborative environment.
Highest-signal resume keywords
Qualified ActuaryPython ProgrammingPredictive ModellingAgile DevelopmentCommercial General Insurance Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Digital Pricing ModelsPredictive Modelling ApproachesModel MonitoringAutomated ValidationStress-Testing CapabilitiesSQLPythonPricing ProcessesRisk Assessment ModelsCatastrophe Modelling
Soft Skills
Excellent Communication SkillsRelationship BuildingProactive DriveCuriosityMentoring
Tools & Technologies
GitAgile Development Practices
Certifications & Qualifications
Qualified ActuaryQualified-by-Experience
Industry Keywords
Underwriting PrinciplesPortfolio ManagementLloyd's MarketInsurance PricingRegulatory Requirements
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design, develop, productionise, and maintain Ki’s digital pricing models for algorithmic underwriting at scale
- Support pricing model development through calibration, exploration of new approaches and datasets, and model monitoring
- Monitor core pricing metrics including Projected Loss Ratio and Risk-Adjusted Rate Change
- Engage with Portfolio Underwriting, Product, Engineering, and Data Science to develop consolidated risk assessment models
- Build and maintain pricing model monitoring capabilities
- Explore new data sources and model improvements and inform the algorithm product roadmap
- Input into validation of machine learning models and other risk assessment considerations
- Develop automated validation and stress-testing capabilities for pricing models
- Ensure adherence to product processes and best practices
- Explore modelling approaches to improve pricing sophistication
- Support pricing capability developments aligned to a division
- Support ad-hoc algorithmic underwriting projects
- Mentor and support team members
- Educate the broader algorithm team on specialty insurance, actuarial pricing, underwriting, and portfolio management principles
Requirements
What you’ll need- Qualified actuary or equivalent Qualified-by-Experience
- Good commercial general insurance Lloyd’s/company market experience, including deep knowledge in one or more underwriting classes
- Pricing experience preferred, but Reserving / Capital also relevant
- Experience working with Python / SQL
- Experience with predictive modelling approaches highly desirable
- Good understanding of underwriting and portfolio management principles, including mix, aggregation, and catastrophe modelling
- Good knowledge of best practice pricing processes and core regulatory requirements
- Experience with software development practices, including agile development and version control in Git, highly desirable
- Excellent written and verbal communication skills, with the ability to articulate complex actuarial concepts to diverse stakeholders
- Ability to build effective working relationships within the team and wider business
- Proactive drive to deliver results and meet deadlines
- Curiosity and enthusiasm to challenge existing practices and bring fresh ideas
Benefits
Comp & perks- Highly competitive remuneration and benefits package
- Remuneration and benefits package kept under constant review
- Recognition and rewards for extraordinary effort by teams or individuals