Deutsche Bank · 13 hours ago
AFC Modelling - Data Scientist - Vice President
Deutsche Bank is a global financial services company, and they are seeking a Vice President for their AFC Modelling team as a Data Scientist. This role focuses on model development and implementation to support the Anti Financial Crime function, ensuring compliance and effective monitoring of financial transactions.
BankingFinanceFinancial Services
Responsibilities
Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice
Responsible for Driving and execution of the Anti-Money Laundering (AML) Transaction Monitoring Americas data strategy in line with the Global Data Strategy/Framework
Develop and evolve platform reporting statistics/data to monitor ongoing model success; perform 'deep dives' to interpret data quality issues, identify remediation and track to resolution
Represent the group in various data governance forums, and clearly communicate data related issues and potential resolution paths
Work with Business (1LOD) to understand the products being offered and define specifications/red flags for Transaction Monitoring models
Review and address open AML TM findings in a timely fashion, work in partnership with AFC stakeholders to develop and drive initiatives that transform and modernize the capabilities and services of Monitoring within the AFC function
Establish a clear vision and goals for the team, Inspire the team to perform well and achieve business goals; provide guidance and instruction to the team, and coach them as needed
Oversee daily activities and progress towards goals, and ensure the team is adequately equipped to perform their duties
Prioritize tasks and allocating tasks to the team accordingly. The role will be collaborating across multiple teams within the M&S (Monitoring & Screening) function
Qualification
Required
Bachelor's/Master's degree in Computer Science, Data Science, Management Information System (MIS), Information Management, or equivalent
Previous relevant experience conducting data science or Model Development in a business setting coupled with excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy)
Experience in Financial Crimes space with expertise in AML Transaction Monitoring and Advisory, with a deep understanding of transaction monitoring data for various lines of businesses, AML red flags, and AML typologies
Proficient in Financial Crime Compliance covering multiple product lines, such as Correspondent Banking, Private Banking, Wealth Management, Brokerage, Trade, and Asset Management
Demonstrated experience in Relational databases, Structured Query Language (SQL), Big Data Hadoop, Hive Query Language (HQL), Data visualization tools
Benefits
A diverse and inclusive environment that embraces change, innovation, and collaboration
A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
Employee Resource Groups support an inclusive workplace for everyone and promote 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
Company
Deutsche Bank
Deutsche Bank is an investment bank that offers financial products and services to corporate and institutional clients.
H1B Sponsorship
Deutsche Bank has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
$2.07BKey Investors
European Investment BankCapital GroupCerberus Capital Management
2025-06-11Post Ipo Debt· $570.76M
2024-11-14Post Ipo Debt· $1.5B
2020-10-13Post Ipo Equity
Leadership Team
Recent News
2025-12-31
2025-12-22
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