AFC Modelling - Data Scientist - Vice President

Deutsche Bank AG, Tokyo Branch-posted 9 months ago

$125,000 - $203,000/Yr

Full-time • Senior

Remote • New York, NY

Credit Intermediation and Related Activities

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Deutsche Bank benefits from having a highly experienced and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping Deutsche Bank's business operations and global financial services clean from financial crime while serving the interests of the Bank and society. Our regional/global matrix structure allows for flexible responses to challenges in the core areas of: Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment. Our AFC Team will provide you with opportunities to learn, grow and define your career. We foster an open, diverse, and inclusive team culture, that is engaged and well-supported for prosperity and enjoyment of a life/work balance.

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.

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.

Flexible and able to adapt to urgent deliverable timelines.
A positive outlook in a goal-oriented organization.
Able to demonstrate excellent analytical, judgment, and research skills.
Meticulous with a strong attention to detail and the ability to multitask.
Able to interpret complex requirements and work proactively with stakeholders in different organizational units.

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.

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