Senior NLP & GenAI Data Scientist for Financial Crimes

474 MS Services Group, Inc.

Dallas (TX)

Vor Ort

USD 210.000 - 270.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Morgan Stanley, a global financial services leader, seeks a Senior Data Scientist (NLP Specialist) in Non-Financial Risk to design and deploy advanced AI models for surveillance and compliance monitoring. The VP-level role leads the NFR Data & Analytics team, partnering with Legal, Compliance, and IT to detect illicit activities and optimize risk controls.

Requirements include a PhD/MS in a quantitative field and 10+ years of AI/ML/NLP experience, with strong Python/Java skills and SDLC

Qualifikationen

  • Advanced degree in a highly quantitative field (MS/PhD).
  • 10+ years of hands-on AI/ML/NLP experience solving complex problems.
  • Strong Python or Java programming skills and SDLC familiarity.
  • Experience with cutting-edge NLP/AI tools and frameworks.
  • Leadership experience guiding junior data scientists.

Aufgaben

  • Design high-performance AI systems using LLMs, RAG, and knowledge graphs.
  • Develop GenAI-based automation to improve efficiency and accuracy.
  • Advance research on novel NLP/AI techniques.
  • Lead and mentor junior data scientists to achieve business goals.
  • Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders.

Kenntnisse

NLP
Machine Learning
Python
Java
Large Language Models
Research leadership

Ausbildung

PhD or MS in CS/ML/Quantitative field

Tools

LangChain
LangGraph
Semantic Kernel
CrewAI
OpenAI SDK
PyTorch
HuggingFace
GIT
Linux
SPARQL
Graph Databases

Jobbeschreibung

Morgan Stanley, a global financial services leader, seeks a Senior Data Scientist (NLP Specialist) in Non-Financial Risk to design and deploy advanced AI models for surveillance and compliance monitoring. The VP-level role leads the NFR Data & Analytics team, partnering with Legal, Compliance, and IT to detect illicit activities and optimize risk controls.

Requirements include a PhD/MS in a quantitative field and 10+ years of AI/ML/NLP experience, with strong Python/Java skills and SDLC

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