Ki

Algorithmic Pricing Actuary

Ki  •  London, GB (Onsite)  •  57 minutes ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Who are we?👋

Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. 

Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. 

Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years. 

Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.

Where you come in?

As our new Algorithmic Pricing Actuary, you'll join our Algorithmic Underwriting team at the exciting intersection of underwriting and algorithm development. You'll help us build best-practice, scalable digital risk- and portfolio-pricing capabilities, blending actuarial science and machine learning to support line size generation.

We'll look to you to ensure our pricing models meet commercial and regulatory requirements, delivering seamless point-of-quote solutions for brokers on our platform. Working within a multi-disciplinary, commercially focused team, you'll bridge deep specialty insurance expertise with advanced product development and scalable analysis. Together, we'll continually innovate and evolve our digital pricing capabilities, securing Ki's long-term position as the pioneer of digital specialty insurance.

What you will be doing: 🖋️

  • Design, develop, productionise and maintain Ki’s digital pricing models, to facilitate algorithmic underwriting at scale.
  • Support the ongoing development of Ki’s pricing models, including:
  • Engage with other functions (e.g. Portfolio Underwriting, Product, Engineering, Data Science) to ensure a consolidated approach to risk assessment model development.
  • Design, build and maintain pricing model monitoring capabilities and regular monitoring of core pricing metrics.
  • Continuously evolve Ki’s pricing models by exploring new data sources and model improvements, and informing the Ki algorithm product roadmap.
  • Input into validation of Machine Learning model development and other risk assessment considerations.
  • Contribute directly to the development of automated validation and stress testing capabilities for Ki’s pricing models
  • Ensure that processes and best practices are adhered to within the Product process - Exploring new modelling approaches to improve pricing sophistication
  • Commercially aligned to a division to support ongoing pricing capability developments
  • Support on ad-hoc algorithmic underwriting projects when required.
  • Mentoring and supporting other members of the team.
  • Educating the broader Ki algorithm team on specialty insurance, actuarial pricing and underwriting / portfolio management principles.

Requirements

  • 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 would be highly desirable - Good understanding of underwriting and portfolio management principles (e.g. mix, aggregation, catastrophe modelling).
  • Good knowledge of best practice pricing processes and core regulatory requirements
  • Experience with good software development practice (e.g. agile development, version control in Git) highly desirable.
  • Excellent written and verbal communication skills, with the ability to articulate complex actuarial concepts to a diverse range of stakeholders across various levels.
  • The ability to build effective working relationships within the team and across the wider business.
  • A proactive drive to deliver results, ensuring delivery of your work to achieve our goals and meet deadlines.
  • Unwavering curiosity and enthusiasm - to challenge how we do things and bring fresh ideas to the table. We’re always looking to improve!

Benefits

Benefits

You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.

What to expect during the recruitment process:

  1. Initial recruiter screening call
  2. Interview with hiring manager
  3. Technical Interview (this may vary depending on the role)
  4. Values Interview
Ki

About Ki

Ki is not just a glimpse into the future of risk, it's a bold step forward, redefining what good looks like. We exist to enhance the experience of brokers and clients by saving them time and eliminating the friction and cost and it takes to place risk at Lloyd’s of London. We empower brokers with instant underwriting decisions, anytime, anywhere.

Our proprietary algorithm that underwrites risk, used in conjunction with the latest machine learning technology, enables us to make faster more informed decisions.

Our innovative approach, built in partnership with Google Cloud and University College London, and backed by Fairfax Financial and Blackstone, is redefining expectations for technology in the market and unlocking the potential of data and the benefits it provides.

But remember, whilst Ki may have a bionic brain, it beats with human heart. A wealth of insurance knowledge and expertise is only a click away, ready to assist and empower and support you in sharpening London’s edge.

Industry
Finance & Insurance
Company Size
501-1,000 employees
Headquarters
London, GB
Year Founded
2020
Social Media