Economic Capital Modelling Analyst

Sompo International; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Health & Wellness

Retirement Plans

Parental Leave

Employee Assistance

Tuition Reimbursement

Job summary

Sompo invites applications for an Economic Capital Modelling Analyst in London. You will support end-to-end capital modelling, focusing on data preparation, model production, and output analytics within Capital Modelling. Collaborate with Parameterisation and Risk teams to ensure robust analytics and governance.

The role is based in London, with a collaborative environment that fosters career development and long-term growth in a global insurance group.

Qualifications

• Strong analytical skills with excellent attention to detail.
• Familiar with data validation, sensitivity testing, simulation modelling concepts.
• Proficiency in Excel; experience with coding (Python, R, VBA, Julia) is advantageous.
• Undergraduate degree in a STEM discipline (e.g., Mathematics, Statistics, Engineering, CS, Data Science, Economics).
• Interest in insurance, risk, or capital modelling with willingness to develop expertise.

Responsibilities

• Production Support: gather, review, and validate data for model assumptions.
• Parameterisation Support: assist actuaries to update model parameters and provide feedback.
• Model Governance Support: maintain run logs, governance docs, and prep for validations/submissions.

Skills

Strong analytical

Attention to detail

Data validation

Sensitivity testing

Simulation modelling concepts

Excel proficiency

Coding (Python, R, VBA, Julia)

Education

Undergraduate degree in STEM

Tools

Python

R

VBA

Julia

Excel

Job description

Job Description

Are you looking for your next opportunity?

Sompo has a unique opportunity for an Economic Capital Modelling Analyst in our Capital Modelling team.

The Capital Modelling Analyst will support the end-to-end capital modelling process, with a primary focus on model production, data preparation, and output analytics. The role works closely with the Model Parameterisation, and Risk functions to ensure high quality inputs, robust analytics, and strong model governance. The analyst will contribute to ongoing model enhancements and help ensure the internal model remains up to date, well documented, and aligned with business and regulatory expectations.

Location: This position will be based out of our London office. We strive for collaboration which is why we offer a work environment where our employees thrive and develop long lasting careers.

Our business, your impact, our opportunity:

What you’ll be doing:

1. Production Support

• Prepare, collect, and review business data required for model assumptions (e.g., planning information, reserve information, reinsurance placement information).
• Perform internal checks on data mapping processes (e.g., plan class → model class, reserve class → model class), independently reviewing updates made by other team members.
• Perform model changes, ensuring detailed analysis checks from one run to the next.
• Perform output analysis, including reasonableness checks, reconciliation tasks, and analysis of change.

2. Parameterisation Support

• Work with parameterisation actuaries to update model parameters for specific classes of business.
• Analyse parameter changes prior to model runs and prepare clear feedback summaries to parameterisation actuaries.

3. Model Governance Support

• Maintain and update the model’s Run Log, Limitations Log, Expert Judgement Log, and other governance items. Support the upkeep of model policies, and documentation required for internal and external review.
• Assist with preparation for validation activities, regulatory submissions, and internal governance committees.

What you’ll bring:

• Strong analytical skills with excellent attention to detail.
• Familiar with data validation, sensitivity testing, simulation modelling concepts.
• Proficiency in Excel; experience with coding (Python, R, VBA, Julia) is advantageous.
• Undergraduate degree in a STEM discipline (e.g., Mathematics, Statistics, Physics, Engineering, Computer Science, Data Science, Economics, or similar).
• Interest in insurance, risk, or capital modelling, with a willingness to develop expertise in these areas.

At Sompo, we recognize that the talent, skills, and commitment of our employees drive our success. This is why we offer competitive, high-quality compensation and benefit programs to eligible employees.

Our compensation program is built on a foundation that promotes a pay-for-performance culture, resulting in higher incentive awards, on average, when the Company does well and lower incentive awards when the Company underperforms. The total compensation opportunity for all regular, full-time employees is a combination of base salary and incentives that gets adjusted upfront based on overall Company performance with final awards based on individual performance.

We continuously evaluate and update our benefit programs to ensure that our plans remain competitive and meet the needs of our employees and their dependents.

Below is a summary of some of the benefits we offer, which may vary depending on the country:

• Health & Wellness Benefits
• Retirement & Savings Plans
• Global Parental Leave & Adoption Assistance
• Employee Assistance Program
• Tuition Reimbursement & Professional Qualification benefits

Who we are and what we stand for:

At Sompo, our shared purpose is to create meaningful value for clients, communities, and each other. We strive to foster a workplace where everyone feels respected, included, and empowered to excel. As a global organization, we embrace diversity and champion equal opportunity. Guided by our core values—Accountability, Agility, Collaboration, Development, and Integrity—we build trust and support one another to achieve our goals worldwide.

Our values come to life in how we hire and grow talent. Employment decisions are based on qualifications, merit, and organizational need, and we strive to ensure equitable access to opportunities so everyone can do their best work.