Job Title: Data Scientist - Transaction Monitoring
Corporate Title: Vice President
Location: New York, NY
Overview
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.
You will work within the Global Strategic Analytics Team on model strategy and deployment of Transaction Monitoring. Your team delivers street leading models leveraging both qualitative and quantitative analytics on Deutsche Bank’s clients’ activities. To be successful in that role, you are familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. You will work in a collaborative global team and focus on people development and career growth.
The purpose of Transaction Monitoring Models is to identify and investigate unusual customer transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will ensure that all relevant criminal risks, typologies, products, and services are properly monitored.
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
- Implement, maintain and upgrade model framework for transaction monitoring including coverage, data, model development and optimisation
- Support and implement key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management
- Liaise with Compliance and Model Risk Management teams to ensure monitoring systems and scenarios adhere to all model governance standards
- Ensure models are interpretable, explainable, and auditable and that detailed metrics & reporting are developed to provide transparency and maintain effectiveness of transaction monitoring models.
- Support all examinations and reviews performed by regulators, monitors, and internal audit
How You’ll Lead
- Oversee junior team members and guide model calibration and optimization efforts
- Participate in research projects on innovative solutions to make detection models more pro-active
Skills You’ll Need
- Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics)
- 5+ years of experience developing models in a financial services or FinCrime setting
- Experience designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office; hands-on approach needed
- Experience utilizing Machine Learning and Artificial Intelligence
- 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
- Expertise utilizing quantitative scenarios in the context of AML transaction monitoring
- Experience with data and the ability to clearly articulate data requirements as they relate to TM, including comprehensiveness, quality, accuracy and integrity
- Knowledge of the bank’s products and services, including those related to corporate banking, investment banking, private banking, and asset management
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, MIS, Information Management, or equivalent.
- Previous relevant experience conducting data science or model development in a business setting.
- Proficient programming skills in Python/Anaconda (Scikit-learn, Pandas, NumPy).
- Strong analytical and data science skills with ability to independently drive research.
- Experience in the Financial Crimes / AML space.
- Demonstrated experience with relational databases and SQL.
- Experience with Big Data technologies such as Hadoop and Hive (HQL).
- Experience with data visualization tools.
Deutsche Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Deutsche Bank and has not been reviewed or approved by Deutsche Bank.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning multiple medical plan options along with dental, vision, prescription coverage, life insurance, and disability protection.
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Leave & Time Off Breadth — Time away is described as generous, including annual leave, sick leave, public holidays, wellbeing leave, volunteering leave in some regions, and expanded bereavement leave in certain locations.
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Retirement Support — Retirement support is presented as a matched savings plan (401(k)), reinforcing longer-term financial security as part of the rewards package.
Deutsche Bank Insights
What We Do
At Deutsche Bank, we give original thinkers the space and support they need to shine. Merging local knowledge with global vision, in-depth insight with industry-leading digital expertise, if you’re an innovator by nature, we can help you to unleash your potential. We see things differently at Deutsche Bank – and we’re proud of our fresh perspective. Today, we’re driving growth through our strong client franchise, investing heavily in digital technologies, prioritising long-term success over short term gains, and serving society with ambition and integrity. Wherever your interests lie – in investment banking, trading, private wealth, asset management, retail banking - or many of the infrastructure functions that support them – you’ll discover resources, training and opportunities designed to keep you ahead of the curve. Intelligence has no boundaries: we welcome high-achieving, talented individuals from any background. If you’re full of imagination, enjoy solving problems and respond positively to complex challenges, discover a career to look forward to and join us!








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