Job Title: Threat Analytics Data Scientist

Corporate Title: Associate

Location: Jacksonville, FL

Overview

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 (AML), 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.

What We Offer You:

• We offer competitive health and wellness benefits, empowering you to value life in and out of the office

• Active engagement with the local community through Deutsche Bank’s specialized employee groups

• An environment that encourages networking and collaboration across functions and businesses

Return to Office:

• It is the Bank’s expectation that employees hired into this role will work in the Jacksonville office in accordance with the Bank’s hybrid working model

• Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion

Hear from our people and look inside our office: DB@The Muse

Your Key Responsibilities:

• Analyze behaviors for potential Anti-Money Laundering related activity

• Perform threat analysis and develop threat models

• Ability to develop and train data models

• Experience working with both structured and unstructured data sets

• Develop and design model documentation for governance and model review teams

Your Skills and Experience:

• Moderate work experience in the financial, compliance, or data science industry

• Bachelor’s degree in Computer Science, Engineering, Statistics, Technical Science, or equivalent work experience

• Experience as a Data Scientist, Quantitative Analyst, or with Statistics, and in database design, ETL processes and data mining a plus

• Programming proficiency in Structured Query Language (SQL), R, and Python with exposure to Graph Analytics

• An understanding of the legal and compliance issues of complex banking organizations

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Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.



We are an Equal Opportunity Employer - Veterans/Disabled and other protected categories. Click these links to view the following notices: "EEO is the Law poster" and supplement ; Employee Rights and Responsibilities under the Family and Medical Leave Act ; Employee Polygraph Protection Act and Pay Transparency Nondiscrimination Provision .