IQUW is a speciality (re)insurer at Lloyd’s (Syndicate 1856) underwriting a diverse range of Property, Commercial and Speciality (re)insurance products from Cargo and Marine to Political Violence, Terror and War. We combine data, intelligent automation and human expertise to make smart decisions, fast.
ERS is the UK's largest specialist motor insurer with an A+ rating. We recognise that for some, motor insurance is more than just a must-have; it's a way of taking care of what stands at the heart of their passion or livelihood. For those people, standard insurance isn't enough. That's why we work exclusively with motor insurance brokers to help get under the skin of the most difficult insurance risks, helping build products to meet their customer’s needs.
The role
Assisting the actuarial team in assessing the sufficiency and quality of the data available in the area of reserving and capital.
Key responsibilities
- Assisting with regular model updates as required, including updates to methodology, coding, parameters, data, exposure and reinsurance inputs
- Proactively seeking to improve efficiency through automation using appropriate automation tools (such as SQL, Python, R, visualisation tools)
- Development, maintenance and enhancement of reserving and capital data templates, with the aim of improving data quality and efficiency of analysis
- Maintenance of policies and processes documentation
- Production of analysis and commentary to support internal and external reporting
- Progress through the IFoA actuarial exams in line with expectations
The above duties and responsibilities are not an exhaustive list and you may be required to undertake any other reasonable duties compatible with your experience and competencies. This description may be varied from time to time to reflect changing business requirements.
Essential qualifications, skills and experience
- Quantitative background (including but not limited to Mathematical, Physics, Economics degree)
- Experience using programming languages such as SQL, Python, R or similar
- Knowledge and experience in handling complex datasets and utilising them in structured analysis would be desirable but not essential
- An interest/understanding of the insurance market
- Desire to qualify as an Actuary will be advantageous but not essential
Desirable behavioural attributes
- Strong analytical skills
- Openness to learning new technologies and programming languages
- Excellent attention to detail
- Prepared to challenge the way things are done
- Inquisitive mind
- Innovative, bringing new ideas to the table
- Problem solver, thinking creatively to solve business problems
- Desire to learn & develop
- Excellent communication skills
