K

Ki

Algorithmic underwriting platform for multiple quotes

Algorithmic Pricing Actuary

Actuarial & Risk ModellingPosted on Nov 11
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • Be a qualified actuary or equivalent Qualified-by-Experience.
  • Have commercial general insurance Lloyd’s or company-market experience, including deep knowledge in one or more underwriting classes.
  • Have experience working with Python and SQL.
  • Have a good understanding of underwriting and portfolio management principles, including mix, aggregation, and catastrophe modelling.
  • Have good knowledge of best-practice pricing processes and core regulatory requirements.
  • Have excellent written and verbal communication skills to articulate complex actuarial concepts to diverse stakeholders across various levels.
  • Be able to build effective working relationships within the team and across the wider business.
  • Demonstrate a proactive drive to deliver results, ensuring work is completed to achieve goals and meet deadlines.
  • Demonstrate curiosity and enthusiasm to challenge existing approaches and bring forward ideas.

Responsibilities

  • Design, develop, productionise, and maintain digital pricing models to facilitate algorithmic underwriting at scale.
  • Support ongoing development of pricing models, including model calibration, exploration of new approaches and datasets, and model monitoring using core pricing reporting metrics such as Projected Loss Ratio and Risk-Adjusted Rate Change.
  • Engage with Portfolio Underwriting, Product, Engineering, Data Science, and other functions to ensure a consolidated approach to risk assessment model development.
  • Design, build, and maintain pricing model monitoring capabilities and regularly monitor core pricing metrics.
  • Evolve pricing models by exploring new data sources and model improvements, and inform the algorithm product roadmap.
  • Contribute to validation of Machine Learning model development and other risk assessment considerations.
  • Contribute directly to developing automated validation and stress-testing capabilities for pricing models.
  • Ensure processes and best practices are followed within the Product process, exploring new modelling approaches to improve pricing sophistication.
  • Support ongoing pricing capability developments in alignment with a division.
  • Support ad-hoc algorithmic underwriting projects as required.
  • Mentor and support other team members.
  • Educate the broader algorithm team on specialty insurance, actuarial pricing, and underwriting and portfolio management principles.

Desired Qualifications

  • Pricing experience is preferred; Reserving or Capital experience is also relevant.
  • Experience with predictive modelling approaches is highly desirable.
  • Experience with good software development practices, such as agile development and version control in Git, is highly desirable.

About the Company

Ki

Algorithmic underwriting platform for multiple quotes

Ki Insurance runs a digital, algorithmic underwriting platform for the London market. It collects quotes from multiple capacity partners in one place and offers follow capacity—additional insurance based on a lead quote and risk information—through its network, including Aspen Digital Syndicate 4711, Beazley Syndicates 623 and 2623, Ki Syndicate 1618, and Travelers Syndicate 5000. Machine learning helps improve underwriting efficiency and accuracy, enabling brokers and underwriters to compare and attach more capacity. Unlike firms that provide a single quote from one carrier, Ki combines several capacity quotes and supports risk sharing with partners, backed by substantial investor capital (Blackstone and Fairfax) and a high Gross Written Premium of £834 million in 2022, making it the largest insurtech in London. Its goal is to simplify insurance placement, expand capacity, and better manage risk in the London market by scaling digital underwriting and partner networks.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$500M
Headquarters
London, United Kingdom
Founded
2020

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