At a Glance
- Tasks: Analyse large datasets and develop models to assess mortality and disability risks.
- Company: Join Pacific Life Re's innovative Strategic Analytics team.
- Benefits: Enjoy 25 days annual leave, healthcare coverage, and wellness initiatives.
- Other info: Collaborative culture with a focus on work-life balance and community involvement.
- Why this job: Make a real impact in risk assessment and insurance innovation.
- Qualifications: Degree in a quantitative field and experience with statistical modelling.
Strategic Analytics | 6-9 Month Fixed-Term Contract
About the Role
Pacific Life Re's Strategic Analytics team is seeking a Biometric Research Scientist / Actuary to support research into mortality, morbidity, and disability risk. Working with large longitudinal datasets, you will apply statistical and machine learning techniques to understand the impact of medical, behavioural, demographic, and socio-economic risk factors. Your insights will help inform underwriting innovation, risk assessment, product development, and actuarial research across the business. This role offers an opportunity to work at the intersection of actuarial science, data science, biometrics, and insurance innovation.
Key Responsibilities
- Prepare, validate, and analyse large longitudinal datasets from insurance, underwriting, claims, health, and related sources – in collaboration with Strategic Analytics team members.
- Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk.
- Apply techniques such as survival analysis, experience investigations, predictive modelling, and risk factor analysis.
- Generate insights that support underwriting, pricing, product development, and research initiatives.
- Collaborate with actuaries, underwriters, medical specialists, and data scientists across the business.
- Present findings clearly to both technical and non-technical stakeholders.
About You
You will have:
- A degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology, or a related quantitative field.
- Experience analysing complex longitudinal datasets.
- Strong statistical modelling and analytical skills.
- Proficiency in Python, or R and SQL preferred.
- Experience with machine learning and predictive modelling techniques.
- Excellent problem-solving and communication skills.
Desirable Experience
- Experience in life insurance, reinsurance, healthcare analytics, epidemiology, or related fields.
- Knowledge of mortality, morbidity, disability, or survival modelling.
- Actuarial qualifications (FIA or equivalent) or progression towards qualification.
- Experience with cloud-based analytics platforms such as AWS or Azure.
Why Join Us?
You will join a highly collaborative Strategic Analytics team working on innovative research that helps shape the future of risk assessment and underwriting. This is an excellent opportunity to apply advanced quantitative techniques to real-world business challenges while contributing to industry-leading biometric research.
We welcome applications from actuaries, data scientists, statisticians, epidemiologists, biostatisticians, and other quantitative researchers with experience analysing longitudinal health, insurance, or risk-related datasets.
Working For Pacific Life Re
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.
Benefits (Only for Permanent and Fixed Term Employees)
- 25 days of annual leave with option to buy/sell more days
- Adoption and fertility leave
- Generous enhanced parental leave
- Comprehensive private insurance coverage for employee and dependents
- Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary
- Optical benefits
- 15% combined employee/employer contributions
- Subsidized gym membership
- Access to Employee Assistance Program
- Cycle to Work and Electric Car Salary Sacrifice Scheme
- Time off for volunteering
- Charitable matching of employee donations
You Can Be Who You Are
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.
Pacific Life Re Values
Please click here to view our company values.
Biometric Research Scientist / Actuary in London employer: Pacific Life Re
As a global life reinsurer, we offer an exceptional work environment that fosters innovation and excellence. Our collaborative culture encourages employees to challenge the status quo, providing ample opportunities for professional growth and development. Located in Europe, we pride ourselves on our commitment to employee well-being and a supportive atmosphere that values diverse perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Biometric Research Scientist / Actuary in London
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Some tips for your application 🫡
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How to prepare for a job interview at Pacific Life Re
✨Brush Up on Your Biotech Basics
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