AFC Modelling - Data Scientist (Transaction Monitoring) - Vice President

Job Title: Data Scientist - Transaction Monitoring

Corporate Title: Vice President

Location: New York, NY

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, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment.

As a Vice President within AFC, you will play a key role in shaping and advancing data science and analytical capabilities across the Financial Crime organization. You will leverage advanced analytics, machine learning, and large-scale data platforms to develop innovative solutions that enhance risk detection, improve operational effectiveness, and support strategic decision-making.

What We Offer You

• 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

What You’ll Do

• Lead the development and implementation of advanced analytics and machine learning solutions supporting Financial Crime and AFC initiatives
• Drive data science strategy by partnering with business, compliance, technology, and risk stakeholders to solve complex problems and deliver actionable insights
• Design, enhance, and monitor predictive models and analytical frameworks using large and complex datasets
• Conduct deep-dive analyses to identify emerging risks, data quality issues, and opportunities to improve detection and operational effectiveness
• Develop reporting, dashboards, and performance metrics to measure model effectiveness and support strategic decision-making
• Provide technical leadership, model governance support, and mentorship to junior team members while promoting analytical best practices

Skills You’ll Need

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative discipline; Master's degree preferred
• Significant experience developing and deploying machine learning, statistical, or advanced analytics solutions within financial services or other regulated industries
• Strong programming expertise in Python and data science libraries including Pandas, NumPy, and Scikit-learn
• Advanced experience working with large-scale datasets, SQL, data modeling, and modern analytics platforms
• Strong communication and stakeholder management skills with the ability to influence business and technical audiences at all levels
• Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs

Skills That Will Help You Excel

• Experience within Financial Crime, Anti-Money Laundering (AML), Fraud, Compliance, Risk Management, or Regulatory Technology environments
• Exposure to Transaction Monitoring, customer risk analytics, sanctions screening, or other financial crime surveillance programs
• Experience with Hadoop, Hive, Spark, cloud-based analytics platforms, or other big data technologies
• Strong analytical and problem-solving skills with the ability to translate business challenges into scalable solutions
• Ability to balance strategic thinking with hands-on execution in a fast-paced and evolving environment

Expectations

It is the Bank’s expectation that employees hired into this role will work in the New York City 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.

The salary range for this position in New York City is $155,000 to $252,500.  Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications.  Posted salary ranges do not include incentive compensation or any other type of remuneration.

Deutsche Bank Benefits

At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!

Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/life 

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We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; and Employee Polygraph Protection Act.