Vice President, Data Management & Quantitative Analysis
United States, FL, Lake Mary, 32746
- IT
- Full-time
- data management
- quantitative analysis
- data governance
The Vice President, Data Management & Quantitative Analysis at BNY leads data management strategies, ensuring data integrity and governance while applying advanced quantitative methods. The role involves collaboration with cross-functional teams to translate complex data into actionable business insights and mentoring junior team members. Prior experience in risk and regulatory reporting and a strong command of data management tools are highly valued in this leadership position within a global financial services company.
Vice President, Data Management & Quantitative Analysis
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, Data Management & Quantitative Analysis to join our Data and Quantitative Analysis team. This role is located in Lake Mary, FL (4 days in office per week).
In this role, you’ll make an impact in the following ways:
- Lead the development and implementation of data management strategies by leveraging expertise in data analysis and quantitative methodologies.
- Ensure data integrity and accuracy across all platforms by establishing rigorous data governance frameworks and protocols.
- Collaborate with cross-functional teams to translate complex data insights into actionable business strategies, enhancing decision-making processes.
- Drive continuous improvement initiatives in data management practices by staying abreast of industry trends and emerging technologies.
- Mentor and guide junior team members, fostering a culture of learning and development within the data management team.
- Champion data-driven innovation by identifying opportunities for automation and efficiency enhancements in data processing and analysis.
- Prior experience in risk and regulatory reporting, with a strong understanding of associated frameworks and compliance requirements, is highly desirable
To be successful in this role, we’re seeking the following:
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. Advanced degree preferred.
- Strong analytical and quantitative skills, with the ability to interpret complex datasets and deliver actionable insights.
- Excellent communication skills, capable of conveying technical concepts to non-technical stakeholders.
- Proficient in data management tools and platforms, with a continuous improvement mindset.
At BNY, our culture speaks for itself, check out the latest BNY news at:
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:
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 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.




