AVP Data Analyst

Key Responsibilities:

• Investigate and resolve data quality, lineage, and control issues.
• Design and build scalable data pipelines to automate data flow and processing.
• Conduct data cleansing, transformation, and validation activities.
• Apply machine learning and AI to solve complex operational problems.
• Oversee data governance policies and ensure adherence to regulatory frameworks likeBCBS 239.
• Collaborate with stakeholders across Risk, Compliance, Technology, and Business to deliver actionable insights.
• Document and report on data issues and improvements, supporting audit and control frameworks.

Required Skills & Qualifications:

• Proven experience inData Management, Data Governance, andData Qualitywithin a financial services environment(Preferably Financial crime or fraud).
• Strong understanding ofrisk and control frameworks, including enterprise risk and operational risk
• Strong understanding and practical exposure toapplication of BCBS 239 principles and related frameworks.
• Proficiency in tools and technologies such as:
• SQL,Python,Tableau,Tableau Prep,Power Apps,Alteryx
• Familiarity withstructured and unstructured data analytics
• Excellent stakeholder management, communication, and presentation skills.
• Strong analytical mindset with the ability to work independently and lead data initiatives.
• Working knowledge offinancial crime and fraud data domains.