JOB DESCRIPTION

POSITION: Senior Capital Modelling Analyst

LOCATION: London

About The Job:

Our client is looking to expand their Capital Modelling team which currently owns the internal model that is used to set their capital and drive business decisions. Analysts within the team are key to setting up and interpreting modelling output and communicating the insights from this within the team and to key stakeholders.

This role will have a mix of modelling/analysis and reporting work and the opportunity to continue to study for the actuarial exams (if applicable).

What you’ll spend your time doing:

• Direct analysis to meet business questions and priorities
• Investigate new effects or issues in analysis and propose plans to address these, including anticipating how these effects may change over time
• Proactively consider and communicate the assumptions and limitations that should be visible to decision makers
• Challenges how a task is approached with new ideas
• Create process to ensure work is completed in a systematic and orderly way to a high standard of accuracy
• Supporting the development and delivery of strategy including exploring priorities and options
• Actively contributing to the actuarial team culture of high performance and inclusivity
• Are a strong problem solver who enjoys thinking through the best way of processing data and analysing
• Have a high attention to detail and accuracy

Requirements of the Senior Capital Modelling Analyst:

• Have experience in an actuarial role within the General Insurance market (Lloyd’s or P&C), with a strong background in capital modelling
• Be nearly/newly qualified (max 2-3 exams remaining)
• Ideally have experience in non-insurance risk calibration and/or model development (e.g. dependencies, market risk)
• Ideally have ICM Igloo experience, but candidates with strong relevant Tyche backgrounds would also be considered
• Have excellent soft skills abilities (communication, building relations, team players)
• Have good logical reasoning skills couple with commercial acumen
• SQL and R skills would be beneficial