Science jobs in Germany

The primary purpose of the Actuarial Analyst is to work within Lockton’s Alternative Risk Solutions & Analytics team to support our strategy of providing Actuarial Analytics & Consulting to Lockton’s growing European Retail and Specialty business. You would join an existing, market leading and fast‑growing function that works across our entire business with exposure to a range of technical lines of business. The exciting role will require a high degree of self‑motivation and ability to effectively manage multiple tasks. You will be involved in projects in a lead capacity and provide technical support to other analysts in our team as well as working closely with some of the world’s leading organisations as part of a wider client team.

• Leading and reviewing various types of analytical projects
• Supporting brokers by engaging with insurers actuaries to challenge results when necessary
• Data cleansing, adjustment and processing
• Running financial analysis based on reported accounts
• Provide analytical model building support, such as Aggregate Loss Projections
• Provide report writing support for the above analytics
• Provide content during new business opportunities
• Applying technical skills to develop new products and sales materials
• Attending client and prospect meetings and leading the analytics component as required

• Extensive experience as an actuarial analyst at an insurer or broker
• Passed a minimum of 5 of the Institute and Faculty of Actuaries (IFoA) exams
• A thorough understanding of the insurance industry & experience in presenting to clients
• Experience with using data science techniques in a developing environment such as R Studio or Python
• Ability to compile, analyse, present, and interpret complex financial and statistical information
• Highly numerate with degree level mathematics / statistics qualification
• Advance user of Excel to utilise and build analytical models
• Experience with the use of analytical models in an insurance broking environment
• Up‑to‑date knowledge of the application of analytics and data in the insurance market
• Comfortable and confident presentational skills
• Familiar with recognised actuarial models for analysing general insurance data
• Good financial acumen with reasonable understanding of financial statements