Impact Analytics, Pricing Actuary at Convex Insurance

City of London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Actuarial Skills, Risk Analysis, Portfolio Design, Pricing Models, Data Analysis, Collaboration, Communication, Python, SQL, Power BI, Cross-Functional Resource Management, Data Technology, Catastrophe Analytics, Capital Optimisation, Ceded Reinsurance, Analytical Tools

Industry

Insurance

Description

Impact Analytics, Pricing Actuary Department: Actuarial / Analytics Employment Type: Permanent Location: London, UK Description The Impact Analytics team at Convex supports Underwriters in insurance and reinsurance by offering Actuarial assistance with portfolio design, pricing models, and risk analysis. Your primary role will be to work closely with Underwriters, advising on portfolio design, building pricing models, and aiding in risk selection for various insurance and reinsurance lines. You'll also collaborate with teams in catastrophe analytics, capital optimisation, and ceded reinsurance. Active engagement with Underwriters is expected to enhance transparency and confidence in the analytics provided. Key Responsibilities Supporting Underwriters with risk selection by designing pricing models, evaluating new markets, and optimising existing portfolios. Collaborating with Exposure Management, Capital Modelling, Ceded Re, and Actuarial teams for consistent decision-making. Driving wider initiatives that support Convex’s ambition to build market leading data lead tech capabilities. Creating analytical tools and dashboards with Data Engineers and BI Developers. Upholding Convex values and sharing expertise across the company. Skills Knowledge and Expertise Part or newly qualified Actuary with at least 3 years’ experience in the London market (re)insurance sector. Articulate communicator, both verbally and written. Ability to maintain a collaborative approach and use influencing skills to deliver results using cross-functional resource. Genuine interest in using data and technology to improve processes and decision making. Advanced technical skills including Python, SQL and Power BI would be valued. 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

Responsibilities

Support Underwriters with risk selection by designing pricing models and optimizing existing portfolios. Collaborate with various teams to ensure consistent decision-making and drive initiatives for data-led tech capabilities.