Algorithmic Pricing Actuary

Ki; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Ki, a leading digital specialist insurer, is seeking an Algorithmic Pricing Actuary to design and scale pricing models blending actuarial science and ML. You’ll calibrate models, explore new data sources and collaborate with underwriting, product and data science to advance Ki’s pricing capability.

You will bridge actuarial expertise with product development, maintain automated validation processes, and contribute to Ki’s ambitious digital pricing roadmap while ensuring regulatory and commercial

Qualifications

• Qualified actuary or equivalent by experience.
• Strong Lloyd’s/market pricing knowledge.
• Experience with Python and SQL.
• Experience with predictive modelling and risk management.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Design, develop, productionise and maintain Ki’s digital pricing models.
• Model calibration and exploration of new approaches/datasets.
• Collaborate with Portfolio Underwriting, Product, Engineering and Data Science.
• Monitor core pricing metrics and model performance.
• Mentor and coach other team members.

Skills

Python

SQL

Predictive modelling

Actuarial pricing

Communication

Teamwork

Agile development

Education

Actuarial qualification

Tools

Git

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:

• Model calibration
• Exploration of new approaches and datasets
• Model monitoring, including core pricing reporting metrics such as Projected Loss Ratio and Risk-Adjusted Rate Change

• 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

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