Provide technology thought leadership and execution to deliver both strategic and tactical solutions related to actuarial modeling within pricing, valuation, data analytics, and applications development
Build strong relationships with key business peers within the Actuarial teams
Optimize process flows into actuarial modeling platforms for Life & Annuities (GGY-Axis, MG-Alpha) for Variable Annuities (Atlas), and for Property & Casualty (Milliman Arius)
Operate in an agile development environment while applying DevOps principles
Leverage an existing offshore resource support model
Understand current state data pipelines/processes; build solutions for future state optimization
Ingest and analyze new/existing data sets and implement end-to-end processing
Provide long term technology solutions to financial modeling using modern data engineering, data visualization, data science, and machine learning
Evaluate actuarial SaaS solutions from a technology lens in partnership with the Actuarial team

Requirements

Bachelor's degree in Math, Computer Science, Engineering, or similar field
Minimum experience of seven years in a growing IT role, with at least five years in programming (Python, Julia and/or R) and SQL
Experience with actuarial modeling systems (GGY Axis, Slope, etc.)
Domain knowledge in Life & Annuities and P&C insurance
Experience in building cloud-based data solutions in AWS
Robust knowledge of data lakes, data governance and modern data quality techniques
Prior knowledge and experience in the fintech, investment banking or insurance industry
Excellent analytical, problem solving and conceptual skills.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJuliaRSQLactuarial modelingdata engineeringdata visualizationdata sciencemachine learningcloud-based data solutions

Soft Skills

analytical skillsproblem solvingconceptual skillsrelationship building