Anti-Financial Crime Data Management and Governance - Vice President

$125,000 - $183,500/Yr

Deutsche Bank - New York, NY

Full-time - Senior

Remote - New York, NY

Credit Intermediation and Related Activities

About the position

The Vice President of Anti-Financial Crime (AFC) Data Management and Governance at Deutsche Bank plays a crucial role in ensuring the integrity of the bank's operations against financial crime. This position involves overseeing data management practices related to Anti-Money Laundering, sanctions, fraud prevention, and risk assessment, while fostering a diverse and inclusive team culture. The role offers opportunities for professional growth and emphasizes a work-life balance through a hybrid working model.

Responsibilities

• Strong understanding of Anti-Money Laundering practices and ability to dissect transaction data (SWIFT, ACH, FedWire, Chip, IAT).
• Maintain the divisional view of system data requirements and execute the certification process with Data Stewards using tools such as Collibra, Waltz, and Solidatus.
• Run quantitative and qualitative analyses on inputs to AFC Data Capabilities; document controls over input data, identify issues, and propose mitigation actions.
• Support ongoing model performance monitoring and potential remediation actions.
• Utilize tools for building and running queries across large datasets; practical coding experience in Python is a plus.
• Articulate issues in a structured manner and undertake root cause analysis of problem areas.
• Manage stakeholder relationships and communicate complex concepts to non-technical business colleagues.
• Lead the strategic data profiling roadmap with a focus on understanding client, account, and transaction data sourced for AFC.

Requirements

• Educated to University degree or equivalent qualification/work experience.
• Strong motivation to become an expert in the prevention of financial crime.
• Proven experience in understanding ACH, CHIP, FedWire, and SWIFT transactions.
• Robust knowledge of big data and related toolset (Python and related libraries, including distributed databases).
• Strong analytical mindset and motivated to work in data management.

Nice-to-haves

• Understanding of operational risk framework (measurement of inherent and residual risk) is a plus.
• Willingness to take on responsibility and work independently.

Benefits

• A diverse and inclusive environment that embraces change, innovation, and collaboration.
• Hybrid working model allowing for in-office/work from home flexibility.
• Generous vacation, personal, and volunteer days.
• Employee Resource Groups supporting an inclusive workplace and community engagement.
• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits.
• Educational resources, matching gift, and volunteer programs.