Data Analyst - Lloyd's Insurance Market

Job Description

Data Analyst

Job Market: Insurance / Data Analysis

Job Location - London

Data Analyst: About the role

This is a role within the Actuarial pricing team of a leading Lloyd’s insurance company, and will suit a graduate with a numerate degree and with good working knowledge of SQL. Experience of data visualisation software would also be advantageous.

Data Analyst: Key duties

The Pricing team works closely with underwriting teams

• Building pricing models to allow underwriters to price, compare and monitor accounts
• Performing detailed statistical analysis on individual accounts to support underwriting and quotation
• Performing ad-hoc analysis of new business opportunities and portfolio/segmental performance
• Providing support to underwriters during business planning
• Assessing outwards reinsurance pricing

The Data Analyst will support the pricing team to leverage data from a range of sources to provide data insights and to enhance
pricing and portfolio analytics capabilities.

Note that this is not an Actuarial role and as such actuarial study support is not provided.

Main Responsibilities:

• Preparation of monthly pricing-related management information
• Helping to design, build and enhance pricing analytics and reporting capabilities
• Supporting the collection, maintenance and exploration of pricing data so that it is available to be used in modelling by the Pricing Actuaries
• Building, developing and documenting streamlined, efficient processes to support pricing using various technologies
• Communicating and presenting data-derived insights to business stakeholders
• Collaborate, present and share knowledge with the wider Actuarial team
• Assistance for other pricing team activities as required

Data Analyst: Key requirements


• Strong IT skills, including comprehensive knowledge of Excel and VBA
• Good working knowledge of SQL
• Tableau
• Experience with Machine Learning
• Good working knowledge of R

• 2.1 or 1st degree in Mathematics or numeric subject (e.g. Physics, Engineering, Statistics)
• 3 or more strong 'A’ levels, including Mathematics