Life Actuary

Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in life and health insurance, personal and commercial lines, and the London market.

In underwriting we create sophisticated risk models to assist insurers with risk selection and accurate pricing. Our range of models is broad spanning life, health and travel insurance as well as many classes of general insurance. To feed our risk models we source many diverse datasets covering mortality and morbidity risk combined with lifestyle and family history details, disease patterns in countries across the globe as well as many GI related data including weather data, property attributes, business activities, aerial imagery and geodemographic data.

In claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively.

Role Purpose

Verisk is looking for an experienced life actuary to support the development of life, health and critical illness insurance products worldwide. The successful candidate will have experience in survival modelling and product development, with coding experience in Python and/or R.

The successful candidate will also have a wider role in the development of a data strategy for a rapidly expanding business unit. They will also be partly responsible for the execution of the strategy which will include analysing a variety of datasets to assess the level of insight provided and how they could be used to enhance our products or validate underlying assumptions, assessing potential blue sky opportunities for new types of data and analytics and generally participating in the development of ideas to solve the business problems for insurers offering medical related lines of business.

This is an exciting and varied role with great potential for career development. We are looking for a motivated and dynamic individual who will enjoy following the process of product development from concept development to execution to customer delivery. Excellent communication skills and commercial awareness are essential. You will have an entrepreneurial mindset, strong technical skills, the ability to operate independently in a matrixed organization, work with staff in multiple geographic locations, and own/drive projects to their successful completion.  Excellent communication skills and a strong belief in teamwork are essential.

• Support the development of new products for life, health and critical illness underwriting.
• Work closely with a team of medical experts to combine analytical modelling with medical expert judgement in the production of new products.
• Execute exploratory data analysis e.g. processing of and cleaning of data, merging/joining disparate data sources, performing analyses, project design and communicating results. 
• Carry out modelling of mortality and morbidity for the development of excess mortality and morbidity factors based on pre-existing medical conditions, family history and lifestyle factors. Identify which factors are relevant and predictive and should be included in the model.
• Execute a range of survival modelling techniques.
• Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new data with minimal effort
• Create clear and easy to understand reports. Verbally present analysis ideas, progress and results to colleagues.
• Support a high-performance collaborative culture.  Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results.

• An actuarial qualification (FIA or equivalent) in life insurance
• Solid survival modelling experience ideally with Python and/or R
• Expertise in statistical modelling and data analysis
• Excellent written and verbal communication skills
• Detail-oriented technical aptitude with strong logical, problem solving and decision-making skills.
• Ability to work in the London office two days per week

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