AI-Driven Senior Data Scientist – AVP, Wealth Analytics

Deutsche Bank AG

New York (NY)

Hybrid

USD 100,000 - 153,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model
Generous vacation
Volunteer days
Wellbeing benefits
Retirement plan

Job summary

Deutsche Bank AG in New York seeks a Senior Data Scientist to join a global Data Science team supporting AI-driven transaction monitoring for Wealth Management. You will work with U.S.

product users to translate business needs into practical ML solutions and contribute to both established models and emerging generative AI capabilities. You will lead end-to-end ML initiatives, analyze complex client data, collaborate with cross‑functional teams, and help deliver measurable business value while

Qualifications

  • Hands-on experience building applied data science or ML solutions in Python/SQL.
  • Ability to translate business problems into technical requirements for ML/AI solutions.
  • Experience communicating technical concepts to non-technical stakeholders.

Responsibilities

  • Serve as a data science partner to US product users and stakeholders to understand needs and opportunities for product enhancements.
  • Translate business needs into technical requirements and ML/AI solutions.
  • Lead end-to-end ML/AI use cases from data identification to deployment and go-live.
  • Develop and support ML solutions for AI-driven transaction monitoring and Wealth Management analytics.

Skills

Python
SQL
Product thinking
Stakeholder mgmt
ML/AI fundamentals
Communication

Education

Bachelor's degree in Data Science/CS/Math

Tools

Google Cloud Platform
Azure
AWS

Job description

Deutsche Bank AG in New York seeks a Senior Data Scientist to join a global Data Science team supporting AI-driven transaction monitoring for Wealth Management. You will work with U.S.

product users to translate business needs into practical ML solutions and contribute to both established models and emerging generative AI capabilities. You will lead end-to-end ML initiatives, analyze complex client data, collaborate with cross‑functional teams, and help deliver measurable business value while

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