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As a Senior Data Risk Associate within the Anti-Money Laundering (AML) - Models and Advanced Data Insights (MADI) organization, you will leverage your organization, communication, and problem solving skills, and knowledge of data risk management, to maintain vital compliance requirements in a fast-paced, high-stakes regulatory environment. In this role, you will thrive in a cross-functional and collaborative team that will provide a high level of exposure with senior leadership in Anti-Money Laundering and across multiple lines of business as they develop innovative solutions to identify and mitigate potential data risks for the company. You will also have opportunities in building future state delivery practices to ensure the highest priority work flows smoothly through our delivery ecosystem. The role will be working with cross functional MADI teams that include Business Analysts, Data Analysts, Data Engineers, Risk Managers, and Delivery Leads.
Responsibilities:
Ensure compliance with enterprise data standards and procedures for assigned areas of responsibility, including but not limited to:
Managing Data Governance processes, such as HPU (High Priority Usage) Compliance and other data management controls.
Developing and leveraging key relationships with line of business and enterprise data management stakeholders that enable successful completion of data management activities
Identifying opportunities to improve efficiency of data governance processes by leveraging enterprise platforms and technologies, and implementing the solutions.
Providing data risk guidance within the organization
Monitoring and reporting the organization’s data management efforts, identifying gaps and remediation options, and escalating impediments
Validating the organization’s data management efforts against the expectations set in enterprise data policies
Designing and/or sharing data management processes, procedures, and tools
Change Management - ensuring data management impacts are appropriately assessed, documented, and implemented by the organization
Showing a willingness to learn and an intellectual curiosity to better understand AML
The Successful Candidate :
Demonstrates outstanding communication and partnership skills that are essential for interacting and communicating with key stakeholders across all levels
Leverages subject matter expertise to solve complex problems and drive action across the portfolio
Has a bias towards action and iteration, with an ability to prioritize efforts against key deliverables
Considers end to end impacts (the big picture) in designing & proposition solutions
Is technology fluent (or conversational) - need to be able to work in a technology world
Comfortable and capable of leading cross functional teams that are pulled together to solve a problem
Has a mix of data risk management and technical expertise
Bachelor's Degree or Military experience
At least 2 years of experience in business systems analysis, audit, or project management
At least 2 years of experience in data management, data quality assurance, or data warehousing
At least 2 years of experience in compliance or risk management
At least 1 year of experience supporting, partnering and interacting with internal business clients
1+ years of experience with data inquiry, extraction, and automation (SQL, Python)
1+ years of experience with reporting tools (Tableau, QuickSight)
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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