Senior Capital Manager Quant/Actuary

Oliver James; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading insurance firm is seeking a Senior Capital Manager to take ownership of internal model development, focusing on credit risk and quantitative modelling. This role offers high autonomy and requires strong technical skills in programming and methodology development. You will work closely with a senior team and report to an experienced Head of Capital.

Qualifications

• Deep quant or actuarial modelling experience (insurance or consulting).
• Strong technical coding skills — Python preferred.
• Experience with internal models, risk modelling, or capital frameworks.

Responsibilities

• Own and enhance capital models for credit, market, and operational risk.
• Design, build, and refine methodologies in Python.
• Collaborate to stress-test models and assumptions.

Skills

Quantitative modelling

Technical coding

Credit risk models

Methodology development

Tools

Python

R

Matlab

Job description

Senior Capital Manager - Quant Modelling | Insurance

London (3 days in office). This is a newly created role offering high impact and technical ownership.

Looking to step into a high-autonomy, high-impact modelling role? A major insurer is strengthening its Capital team and hiring a Senior Capital Manager to own key areas of internal model development, with a strong focus on credit risk, programming, and quantitative modelling. You will report to a highly experienced and approachable Head of Capital and work alongside a small, senior team.

What you'll be doing:

1. Own and enhance capital models, especially for credit, market, and operational risk.
2. Design, build, and refine methodologies in Python (R/Matlab also considered).
3. Collaborate with investments and wider teams to stress-test models and assumptions.
4. Manage model maintenance cycles and handle model-user queries.
5. Stay hands-on with the code — this is not a BAU oversight role.

What you bring:

1. Deep quant or actuarial modelling experience (insurance or consulting).
2. Experience in methodology and development, rather than oversight.
3. Strong technical coding skills — Python preferred; R/Matlab considered.
4. Experience with internal models, risk modelling, or capital frameworks (Solvency UK).
5. Ability to translate complex model output into commercial insights.
6. Actuarial qualification not required — strong technical skills are essential.
7. Experience with credit risk models is a significant plus.