Ian Rauh

Actuarial Analyst at BPAS Actuarial & Pension Services supporting the design, valuation, and administration of defined benefit and defined contribution retirement plans. My work focuses on applying quantitative analysis and actuarial methods to evaluate plan funding, ensure regulatory compliance, and support accurate benefit calculations for plan participants.

I assist with actuarial valuations, government compliance testing, and the preparation of participant benefit statements and client reports. Using tools such as Excel and actuarial software, I analyze plan data, perform funding calculations, and help consultants deliver results and insights to plan sponsors.

I hold a B.S. in Mathematics from St. John Fisher University and passed the SOA Exam P in 2025. I am currently pursuing additional actuarial exams while continuing to build experience in retirement plan consulting and actuarial analysis.

Actuarial analyst with experience in retirement plan consulting, statistical analysis, and data-driven problem solving. Currently supporting the design, valuation, and administration of defined benefit and defined contribution retirement plans at BPAS Actuarial & Pension Services. Work includes performing actuarial calculations related to plan funding, compliance testing, and participant benefit determinations while assisting consultants in delivering accurate plan results to clients.

Experienced in analyzing large datasets using Excel and actuarial software to evaluate plan performance, validate data accuracy, and produce client-ready reports. Known for a strong quantitative foundation developed through a mathematics degree and continued actuarial exam progress.

In addition to actuarial work, actively developing advanced analytical tools, including a proprietary performance rating system for collegiate volleyball, demonstrating an ability to apply statistical modeling and analytical thinking to real-world problems.

Bachelor of Science in Mathematics from St. John Fisher University with a strong focus on statistical analysis, mathematical modeling, and quantitative problem solving. Completed coursework in advanced mathematics and data analysis while participating in the university’s Honors Program. Developed a strong analytical foundation applicable to actuarial science, financial modeling, and statistical evaluation.

Passed the Society of Actuaries Exam P in 2025 and currently continuing progress through the actuarial credentialing pathway.