Live opening · Posted 5 days ago

Vice President, Data Management & Quantitative Analysis

BNY Mellon · Chennai, Tamil Nadu, India (Hybrid)
Linkedin No
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyBNY Mellon
LocationChennai, Tamil Nadu, India (Hybrid)
Work modeNo
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

Job Description
POSITION SUMMARY:** The Vice President, Data Management & Quantitative Analysis, plays a crucial role within the Data and Quantitative Analysis function, specifically focusing on the Data Management & Quantitative Analysis job family. This position is integral to BNY's commitment to excellence in data-driven decision-making and analysis. By aligning with BNY's strategic pillars, the role supports the creation of innovative solutions that drive business growth and enhance client satisfaction. Upholding BNY's principles, this position fosters a culture of integrity, collaboration, and accountability, ensuring that data management practices are both robust and forward-thinking. **PRIMARY RESPONSIBILITIES:** - 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. **EDUCATION/QUALIFICATIONS:** - Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. - Advanced degree preferred. **EXPERIENCE:** - Typically 5-10 years of experience. **SKILLS:** - 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.
About Us
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 is all about. Join us and be part of something extraordinary.
About The Team
At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom & BNY LinkedIn
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.

Work arrangement
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