Biometric Research Scientist/Actuary: Mortality & Risk Modeling

Pacific Asset Management, LLC; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Healthcare

Life Insurance

Savings & Retirement

Wellbeing initiatives

Cycle to Work

Job summary

Pacific Life Re seeks a Biometric Research Scientist / Actuary to advance biometric research using large longitudinal datasets. You will apply statistical and machine learning techniques to mortality, morbidity, and disability risk, informing underwriting and product development.

Collaboration with actuaries, data scientists, and medical experts is essential. Ideal candidates hold a quantitative degree, strong modelling skills, and proficiency in Python or R and SQL.

Qualifications

• Degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology or related quantitative field.
• Experience analysing complex longitudinal datasets.
• Strong statistical modelling and analytical skills.

Responsibilities

• Prepare, validate, and analyse large longitudinal datasets from insurance, underwriting and health sources.
• Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk.
• Apply survival analysis, experience investigations, predictive modelling, and risk factor analysis.
• Generate insights to support underwriting, pricing, product development, and research.
• Collaborate with actuaries, underwriters, medical specialists, and data scientists.
• Present findings clearly to technical and non-technical stakeholders.

Skills

Statistical modelling

Python

R

SQL

Machine learning

Survival analysis

Data science

Education

Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology

Tools

Python

R

SQL

Job description

Pacific Life Re seeks a Biometric Research Scientist / Actuary to advance biometric research using large longitudinal datasets. You will apply statistical and machine learning techniques to mortality, morbidity, and disability risk, informing underwriting and product development.

Collaboration with actuaries, data scientists, and medical experts is essential. Ideal candidates hold a quantitative degree, strong modelling skills, and proficiency in Python or R and SQL.