Actuary, Assumption Development, R&D - 30117
Posted 4 days 3 hours ago by The Emerald Group
Permanent
Full Time
Academic Jobs
London, United Kingdom
Job Description
In this role, you'll work across both Longevity and Protection markets, giving you diverse exposure and the opportunity to make a real impact. You'll contribute to developing the actuarial bases that set their best estimate assumptions - guiding work from initial data analysis through model fitting, validation, and final approval. Previous experience with actuarial techniques like Generalised Linear Models and Survival models would be an advantage.
- Location: London
- Category: Life Actuarial
- Type: Permanent
Key responsibilities (including but not limited to):
- Contribute to the development of market-leading assumptions by sourcing data, building models, and bringing innovative approaches to assumption setting
- Provide robust challenge to assumptions and approaches adopted by Pricing
- Build effective working relationships with stakeholders across the company, to support alignment and understanding of technical recommendations
- Support actuarial research initiatives, including contributing to internal analysis, thought-leadership work, and engagement with academic partners
- Provide guidance and mentoring within the R&D team, supporting the development for junior team members
- Nearly qualified or qualified Fellow of the Institute or Faculty of Actuaries or Society of Actuaries or other similar organisation
- Strong analytical skills and problem-solving abilities
- An understanding of one or more of the markets they operate in (Longevity or Protection reinsurance)
- Familiarity of experience studies, trend modelling, and pricing within the life insurance industry (including reinsurers, insurers and consultancy)
- Competent in using programming languages (e.g. SQL, R or Tyche)
- Knowledge of actuarial techniques such as Generalized Linear Models and Survival Models
- Ability to collaborate with strong team-working and interpersonal skills
- Experience in presenting to varied audiences on technical topics to gain approval