VP, Actuarial Applications

The VP, Actuarial Applications will lead a team of technologists and be responsible 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 lead IT efforts to build technology solutions to address these needs. Reporting to the VP, IT Data, this role can be based in our Brentwood, TN office (preferred) or our Jersey City, NJ office.

What You Will Do:

• Lead a team of developers to work on strategic and tactical initiatives related to actuarial modeling within pricing, valuation, data analytics, and applications development

• Build a strong relationship with key business stakeholders within the Actuarial teams

• Operate in an agile development environment while applying DevOps principles

• Build a support model that leverages onshore and offshore resources.

• Develop capability-based roadmaps

• Understand current state data pipelines/processes; seek, propose and lead future state optimization

• Ingest and analyze new/existing data sets and implement end-to-end processing

• Design data processing (ETL/ELT) pipelines and data approval workflows

• Engage with data providers to coordinate secure data transfers

• 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 ten 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

• Team leadership and people management

• Excellent analytical, problem solving and conceptual skills

• Strong verbal and written communication skills

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