“I've learned that people will forget what you said, people will forget what you did, but people will never forget how you made them feel.”
– Maya Angelou
Benjamin Bedosky joined HPA in 2023 as a Financial Advisor Associate serving our high net worth and retirement plan clients through financial planning and retirement plan analysis.
Ben is a New York State Certified Public Accountant and has prior experience working in Financial Assurance as a Senior Advisor. During his tenure, Ben focused on leading and managing ERISA Section 103(a)(3)(C) audits for his clients’ 401k and 403b Plans. During this time, Ben was able to provide his clients with recommendations surrounding ERISA and DOL compliance and internal control processes related to their retirement plans. Ben also brings experience in tax preparation for high-net worth individuals and businesses. With this experience Ben was able to learn the nuances of complex tax situations for high net-worth individuals and businesses.
Ben graduated from St. John Fisher University with a Bachelor of Science in Accounting and went on to earn his Master of Business Administration with a General Management concentration from St. John Fisher, where he graduated Summa Cum Laude. While at St. John Fisher University, Ben served as the Co-Founder of the Leadership and Professional Development Club, a member of the Entrepreneurship Association, and Finance Committee Member for the Teddi Dance for Love. He was a member of the college’s Honors Program, Dean’s list and is a current member of Beta Gamma Sigma; an international business honor society accredited by the AACSB and eligible for students who graduated in the top 10% of their business class.
Ben actively volunteers in the community through his involvement with the Villa of Hope on their Sports Committee where he will be on the Young Professionals Board in the near future. Ben enjoys strength training, golfing, watching the Buffalo Bills, and spending time with his family and friends.
Call (585) 485-0135 to discuss how a factor-based approach could pay off for you.