GenAI & NLP Data Scientist - Compliance Surveillance

Morgan Stanley

Houston (TX)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Morgan Stanley in Houston seeks a Data Scientist (NLP Specialist) to develop and deploy advanced AI models using NLP, ML, and quantitative methods to enhance surveillance and compliance monitoring.

This director-level role collaborates with Compliance, Legal, Financial Crimes and IT to design and promote AI/ML/NLP capabilities, leveraging LLMs, RAG, and knowledge graph analytics to detect suspicious activity.

Qualifications

  • Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
  • 5+ years of hands-on industry experience in building AI/ML/NLP solutions
  • Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
  • Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace
  • Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
  • Familiarity with financial markets, especially in Compliance, Non-financial Risk, and Fraud analytics
  • Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases
  • Typically, 8+ years' relevant experience would generally be expected to find the skills required for this role

Responsibilities

  • Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics
  • Create GenAI-based solutions to automate manual tasks and drive cost efficiency
  • Conduct research to identify novel methods for enhancing analytical solutions
  • Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities
  • Champion innovative approaches to improve detection of suspicious activity

Skills

Python
Java

Education

Master's or PhD in Computer Science or quantitative field

Tools

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

Job description

Morgan Stanley in Houston seeks a Data Scientist (NLP Specialist) to develop and deploy advanced AI models using NLP, ML, and quantitative methods to enhance surveillance and compliance monitoring.

This director-level role collaborates with Compliance, Legal, Financial Crimes and IT to design and promote AI/ML/NLP capabilities, leveraging LLMs, RAG, and knowledge graph analytics to detect suspicious activity.

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