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Pacific Life Re is seeking a Manager, Medical Analytics, R&D in London to lead biometric risk modelling initiatives and develop assumptions for UK annuities. You will oversee data sourcing, modelling, validation and communication of results within the Medical Analytics and wider R&D teams.
The role requires strong problem solving, project management and stakeholder engagement, with collaboration across pricing, underwriting and product development teams.
Manager, Medical Analytics, R&D
We are a global life reinsurer operating in Europe, Asia, Australia and North America, and are part of Pacific Life, a mutual insurance group. Fuelled by our pursuit of excellence and a quest to innovate, we’re proud to do things differently. Our people are not afraid to disrupt and challenge industry thinking and provide the best protection, savings and retirement reinsurance products and services possible.
We have an exciting opportunity for a Manager with strong technical skills and experience in biometric risk modelling to join the R&D Medical Analytics team. This is an exciting time to join as we build our insured annuities business and invest in the analytics, modelling and assumption-setting capability needed to support future growth. With access to rich health and underwriting data, you will play a key role in developing the assumptions, models and insights that underpin our individual and enhanced annuities proposition.
Medical Analytics is a multidisciplinary team that works at the intersection of insurance, health and data science. The team combines data-driven and medically-informed insights to support assumption setting, product development, pricing, underwriting and strategic decision-making. The team also assesses emerging developments across the health landscape, translating information from a range of sources into actionable business insights.
You will support the Head of Medical Analytics with managing and conducting health-related analytical projects, with a core remit of supporting basis development, pricing and underwriting rules for UK individual and enhanced annuities products. Responsibilities include planning, evidence synthesis, data sourcing, data analysis, model design, validation and results communication. As part of these projects, you will be transforming quantitative and qualitative analysis into assumptions and uplifts for use in the rest of the business. The role requires strong problem solving, project management and stakeholder management skills.
You will work closely with other teams including:
You will be working in a company that values your technical skills, innovative solutions, and your ability to communicate those ideas effectively.
We know strong candidates may not meet every point listed above.
Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team’s connection with each other and reflect on their successes.
Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee’s involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.