Vice President, Data Management & Quantitative Analysis

Job description

We’re seeking a future team member for the role of Vice President to join our Risk and Compliance Analytics Reporting team . This role is in Pune, India. 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. 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. 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. 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.

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. 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.

Knowledge of the structure of data environments and applications that use big data processes is preferred. 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.