Senior Analyst – Actuarial Data Management

Senior Analyst – Actuarial Data Management

Requirements

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, or other related fields.
• ASA or progress to FSA with 3+ years of experience in the life and annuity insurance industry.
• Self-starter and quick learner, being able to solve complex issues independently and in collaborative team settings.
• Strong communication, technical and analytical skills.
• Relational database knowledge is required.
• Strong controls mindset, including documentation and change management best practices.

Responsibilities

• Define the data required for Actuarial and other models, and make sure that we are receiving that data from our client counterparties, third party administrators (TPAs), and other sources.
• Coordinate with the IT department to ensure that the correct data is captured in our company’s Enterprise Data Hub (EDH).
• Update and maintain the flow of data from EDH to IDM (Integrate Data Management) to our actuarial models (MG-ALFA in Integrate).
• Create/maintain process to ensure that the data feeding the actuarial models are tested and reconciled.
• Support the valuation process by providing interim data preparation support (e.g. manual AIL scripts) as needed.
• Incorporate related data changes into model governance framework and help set up and execute effective controls.
• Identify and implement ways to streamline the flow and reconciliation of actuarial data across the valuation process to maximize efficiency and control.
• Perform other ETL work (e.g. beyond input data management) as required.
• Support internal and external audit activities as well as regulatory exams and inquiries, as needed.

Preferred Qualifications

• Experience with MG ALFA is preferred.
• US GAAP and US Statutory valuation experience is preferred.
• Programming language such as Python or SQL a plus.