AVP, Actuarial Applications

The AVP, Actuarial Applications will proactively engage with our actuarial teams on their critical business priorities, mentor/coach a small team of technologists and design/build solutions for data and applications for use within capital, hedging and actuarial models. This primary IT role is frequently engaged with our consumer (Life & Annuities) and commercial (P&C) Actuarial business partners to understand their needs and then help lead IT efforts to build technology solutions to address these needs. Reporting to the VP, IT Business Partner, this role can be based on a hybrid basis in our Nashville, TN office.

What You Will Do:

· 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

What You Will Have:

· 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

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