At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Vice President, Sanctions Data Analysis and Tuning to join our Global Payments and Treasury Services Operations team. This role is located in Lake Mary (Northern Orlando), FL and Pittsburgh, PA.

In this role, you’ll make an impact in the following ways:

• This role will combine your Data Analytics technical experience and operational knowledge within the Sanctions, AML and KYC space
• Be able to analyze data by writing SQL queries to identify patterns of false positives.
• Create business rules and exceptions to address false positives using Fircosoft utilities.
• Maintain responsibility for designing, testing, and validating suppression logic used for sanctions screening filters
• Identify and mitigate Sanctions risk through periodic risk assessments of lists, filter rules and logic
• Support general sanctions operations activities and other duties, as needed.
• Participate in ad-hoc remediation or business specific projects which may include examinations and/or internal and external audits
• Partner with Management and Global Sanctions Compliance team to ensure proper governance, maintenance and oversight is performed of various internal and external sanctions lists.
• Partner with Senior Management and Global Sanctions Compliance team to ensure proper governance and oversight is performed on the Sanctions filter, alert monitoring system, utility components and fine tune systems and controls as required per policy.
• Provide business support for the reduction of filter false positive alerts by identifying rules and exception processing opportunities ensuring the required testing is performed and documented per enterprise policies to control risk and provide optimum operational performance.

To be successful in this role, we’re seeking the following:

• Bachelor’s degree or the equivalent combination of education and experience is required.
• 5-7 years of total work experience with 0-1 years management experience preferred
• In addition to your SQL/Data Analytic experience, you must also have prior experience in Sanctions, OFAC, AML and KYC.
• Prior experience writing SQL queries.
• Basic knowledge of VBA or Python scripting will be beneficial in getting accustomed to Fircosoft Rule writing code.
• Familiarity with Fircosoft Utilities and knowledge of Fircosoft rule writing for alert tuning preferred.
• Awareness of Payment flows and Economic Sanctions would be beneficial.
• Strong verbal and written communication skills

At BNY, our culture speaks for itself, check out the latest BNY news at:

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Here’s a few of our recent awards:

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune 2025
• “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.