Exposure Manager, Insurance NatCat

Convex; City Of London; On-site; GBP 65,000 - 80,000; Full time

Job summary

A leading insurance company in London seeks an experienced Exposure Manager to take ownership of the natural catastrophe insurance portfolio. The role involves managing a small team and collaborating with underwriters and modelling teams. Ideal candidates will have a strong background in Natural Catastrophe Modelling, analytical skills, and proficiency in SQL, R, or Python. The position offers a competitive salary and comprehensive benefits package.

Benefits

Competitive Salary

30 days Annual Leave

Birthday Leave

10% Employer Pension Contribution

Private Health Insurance

Group Income Protection

Life Assurance Cover

Enhanced Parental Leave

Annual Health Check

3 days of Volunteer Leave

Childcare support

Learning & Wellbeing budget

Cycle to Work Scheme

Season Ticket Loan

Qualifications

• Several years of experience in the non-life London Specialty insurance market.
• Deep understanding of vendor catastrophe models for insurance.
• Highly analytical mindset with strong communication skills.

Responsibilities

• Maintain excellent relationships with third-party modelling teams.
• Peer review outputs and recommend improvements.
• Provide guidance and mentorship to junior team members.
• Ensure compliance with regulatory requirements.

Skills

Natural Catastrophe Modelling

SQL

R

Python

Analytical skills

Communication

Team player

Education

Degree in scientific or numerate subject

Job description

Exposure Manager, Insurance NatCat

Department: Actuarial / Portfolio Optimisation

Employment Type: Permanent

Location: London, UK

Description

The Exposure Management team is embedded in the Convex Analytics function and seeks to create a competitive advantage through industry‑leading decision making enabled by comprehensive data and cross‑functional analytics. In this position, you will take ownership of the natural catastrophe, insurance part of our portfolio, managing two team members and reporting to the Head of Nat Cat Exposure Management.

Using exposure and catastrophe vendor models, you will liaise regularly with the third‑party modelling team, ensuring queries are answered, processes are followed and providing help and guidance where needed. You will ensure the integrity of the output and work towards continual improvement of processes.

Engaging actively with the Underwriters and senior stakeholders, you will bridge the gap between underwriting and the third‑party modelling team, resulting in increased transparency of modelling and analytics.

Key Responsibilities

• Maintaining an excellent relationship with the third‑party modelling team and providing ongoing guidance.
• Peer reviewing third party output, providing teaching and recommend improvement strategies where necessary.
• Operate as a trusted partner to the Underwriters providing insight and responding to queries.
• Supporting the Head of Nat Cat to ensure accurate and timely completion of daily tasks relevant to a variety of insurance lines of business.
• Provide daily guidance and mentorship to more junior members of the team.
• Ensure compliance with regularly requirements.
• Provide insight for internal and external reporting requirements.
• Thought leadership for continuous improvement of the Exposure Management function.
• Participate in ongoing projects, often in collaboration with the wider Analytics team.

Skills Knowledge and Expertise

• Several years of experience within the non‑life, London Specialty insurance market as a Natural Catastrophe Modeller and/or within Exposure Management.
• Deep understanding of a vendor catastrophe model for insurance. Verisk/AIR experience would be an advantage but not essential.
• A good grasp of, and opinion on, the insurance market, insurance modelling complexities and catastrophe model methodology.
• Highly analytical and a graduate in a scientific or numerate subject.
• Articulate with a demonstrated ability to explain complex data and ideas to a varied audience.
• Team player who identifies with the Convex values.
• Proficient in SQL / R/ Python or other coding languages.

Benefits

• Competitive Salary
• 30 days Annual Leave
• Birthday Leave
• 10% Employer Pension Contribution
• Private Health Insurance Medical Cover
• Group Income Protection
• Life Assurance Cover
• Enhanced Parental Leave
• Annual Health Check
• 3 days of Volunteer Leave each year
• 10 days of help with care (elder/ childcare) through Bright Horizons
• £1,300 to spend on learning & wellbeing
• Give as You Earn
• Cycle to Work
• Season Ticket Loan