Associate Data Science Actuary in a Fortune 200 company focusing on mortality data and innovative modeling solutions. Collaborate with project teams to enhance longevity product development and pricing.
Responsibilities
Lead, design, create, and interpret end-to-end models focusing on mortality within longevity markets.
Support Pricing team with insights from large datasets.
Evaluate new external data sources for various applications.
Participate in development and enhancement of underlying processes and recommend improvements in data analysis/modeling standards.
Communicate with stakeholders at various levels of seniority.
Offer risk management to data processing or modeling exercises.
Requirements
Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field
FSA accreditation or equivalent
Minimum of 6 or more years of actuarial experience in life insurance/reinsurance/pension risk transfer
2+ years statistical on-the-job modeling experience (Regression, Decision Trees, Time Series, etc.)
Statistical programs/languages (R or Python) and Spreadsheet skills (Excel/VBA)
Advanced predictive modeling skills covering models like Tree-based models, GLMs, GAMs, etc.
Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot)
Benefits
Gain valuable knowledge from diverse colleagues around the world.
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