Senior Business Systems Analyst (Actuarial IT)

Key Deliverables

• Partner with Actuarial, Finance, Reinsurance, and Technology stakeholders to analyze business processes,facilitaterequirements workshops, and translate complex business needs into scalable technology solutions supporting actuarial and financial operations.

• Perform hands-on data analysis using SQL and other analytical tools tovalidatebusiness rules, reconcile actuarial and financial data, and support downstream reporting, modeling, and operational decision-making.

• Drive modernization initiatives by collaborating with engineering teams to improve actuarial data platforms, AWS-based data solutions, system integrations, and overall data quality and accessibility.

• Support Agile delivery by creating and managing user stories, acceptance criteria, documentation, testing, and production support activities while contributing to continuous improvement across the software delivery lifecycle.

• Mentor and support Business Systems Analysts by sharing best practices, improving documentation standards, and helping elevate the quality and consistency of business analysis across the team.

• Leverage AI-enabled tools to enhance business analysis, documentation, data interpretation, and productivity while promoting innovation, critical thinking, and continuous improvement across delivery teams.

What You Need to Bring

• 5+ years of relevant experiencesupporting Actuarial, Finance, Insurance, or other complex financial systems, withdemonstratedsuccess translating business needs into technology solutions, preferred.

• Strong knowledge of annuity products, including Fixed Annuities (FA), Fixed Indexed Annuities (FIA), reinsurance, liability data, and PGA-related business processes.

• Advanced SQL and data analysis experience with the ability tovalidatecomplex business rules, interpret financial and actuarial data, and support cloud-based data modernization initiatives, preferably within AWS.

• Experience working in Agile environmentsutilizingJIRA, Confluence, and modern business analysis practices, along with familiarity using AI-enabled tools to improve analysis, documentation, and delivery outcomes.

• Excellent analytical, communication, stakeholder management, and problem-solving skills with a demonstrated ability tooperateindependently, influence cross-functional teams, mentor others, and thrive in a fast-paced, evolving environment.

• Bachelor's degree in Business, Information Systems, Finance, Actuarial Science, Computer Science, or a related discipline, or equivalent combination of education and relevant experience.