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Vice President, Data Management & Quantitative Analysis

BNY External Career Site · MH, India

External listingfull-time1 day ago

About The Role

**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.

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