Quantitative Risk Analyst

Miryco Consultants Ltd; London; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading firm in the insurance legacy market seeks a Quantitative Risk Analyst to support risk initiatives within their high-performing ERM framework. This role encompasses technical and commercial responsibilities impacting key business decisions, making it ideal for detail-oriented professionals with a strong analytical background. You'll engage in complex financial modeling, stress testing, and present insights to stakeholders, contributing to both daily analysis and long-term strategic projects.

Qualifications

• 1–3 years of relevant experience in insurance, risk or financial analysis.
• Strong academic background in a quantitative or analytical discipline.
• Detail-oriented mindset with curiosity and problem-solving approach.

Responsibilities

• Contribute to modeling and analysis of insurance exposures across entities.
• Develop and validate complex financial and statistical models.
• Perform stress and scenario testing activities across the business.

Skills

Statistical methods

Financial models

Communication

Problem-solving

Programming

Education

2:1 or equivalent in Mathematics, Statistics, Actuarial Science, Physics, Economics, Risk or Computer Science

Tools

Python

R

SQL

Job description

Miryco Consultants are working on behalf of a leading firm in the insurance legacy market to hire a Quantitative Risk Analyst into a high-performing ERM framework. The incoming individual will work across insurance risk initiatives, with their role designed to support complex statistical processes and key business decisions.

The risk team is centrally positioned and involved with a range of core business functions, including regulatory deliverables and M&A transactions. The opportunity will appeal to those who want a role that is both technical and commercial, with the associated visibility and scope for development.

Responsibilities:

You’ll work closely with the Risk team on a wide variety of projects, supporting both day-to-day analysis and longer-term strategic initiatives.

• Contribute to the modelling and analysis of insurance exposures across multiple international entities.
• Assist in the development, maintenance, and validation of complex financial and statistical models.
• Contribute to internal model validation exercises, including regulatory-focused projects.
• Help design and deliver regular stress and scenario testing activities across the business.
• Support the drafting of risk-related content for board-level and regulatory reporting.
• Present technical insights to stakeholders in a clear, business-focused manner.

You'll also be involved in ad hoc project work such as:

• Supporting due diligence processes during acquisitions, with a focus on financial and risk assessments.
• Conducting deep dive reviews into emerging or material risks.
• Acting as a subject matter resource, providing second-line perspectives on a variety of business queries.

Skills & Experience:

• 1–3 years of relevant experience in insurance, risk, or a financial analysis setting.
• A strong academic background (2:1 or equivalent) in a quantitative or analytical discipline such as Mathematics, Statistics, Actuarial Science, Physics, Economics, Risk or Computer Science.
• Basic understanding of insurance balance sheets, reserving, and capital will be advantageous, though not essential.
• Comfort working with statistical methods and financial models.
• Solid programming or data handling skills – experience with Python, R, or SQL is beneficial.
• Excellent communication abilities – especially the skill to present technical content concisely.
• A detail-oriented mindset with a natural curiosity and problem-solving approach.
• Adaptability and a willingness to get involved in varied and evolving projects.

Location: London

Salary: Up to £45,000

Please note our client is unable to offer sponsorship for this opportunity. Finally, should you not be contacted within five working days of submitting your application, then unfortunately you have not been shortlisted for the opportunity. We will however be in touch should there be any other opportunities of potential interest that are suiting to your skills.

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