Vice President, Data Management & Quantitative Analysis

Role overview

Vice President, Data Management & Quantitative Analysis at BNY Mellon

We’re seeking a future team member for the role of Vice President to join our Risk and Compliance Analytics Reporting team .

In this role, you’ll make an impact in the following ways: We focus on centralizing data, metrics, and reporting for all areas of Compliance, including Global Compliance, Financial Crimes Compliance (FCC), and Global Sanctions.

Responsibilities

• Conduct root cause analysis for data errors and determine remediation steps Collaboration: Collaborate with the Risk & Compliance AI community to establish and share best practices.

Preferred qualifications and skills

• Validate AI outputs for compliance and document AI system touchpoints and logic flows To be successful in this role, we’re seeking the following: Bachelor’s degree (business, math, engineering, computer science) or the equivalent combination of education and experience needed. 7+ relevant years of total work experience preferred.
• Knowledge of the structure of data environments and applications that use big data processes is preferred.

Employment details

• Location: Pune [Mh] [India]

Additional role details

• This role is in Pune, India.
• Then, we aim to build innovative platforms with dashboards, reporting, and administrative tools to provide actionable intelligence and support decision-making Partnerships: Manage partnerships with data owners, Engineering, and FCC/Compliance to document requirements for data use in metrics and reporting AI Integration: Use AI-generated insights to redesign compliance and reporting processes, support strategic risk analysis, and drive AI-enabled decision-making Data Understanding: Gain a comprehensive understanding of data, including its scope, limitations, and interlinkages.
• Use both standard and AI-driven tools for analysis, extraction, and reporting Testing and Analysis: Perform testing and coordinate user acceptance of new datasets and reports.
• Support project management, maintain standards, and assist with training and engagement initiatives Data Management: Oversee data governance, including the management and integration of AI systems, data integrity, availability, and collaboration.
• Strong organization, documentation, communication, and presentation skills.
• Competency with leading data profiling tools such as SQL, Alteryx, Power BI, Python, or other data querying tools.
• Familiar with Business Intelligence data management and visualization (primarily Power BI).
• Experience with issue management systems (JIRA, Service Now).
• Familiar with logical data models.
• Should excel in scenario analysis, foresee potential challenges, and proposing problem-solving solutions.
• Competency with data governance processes and tools.