Senior Data Scientist (NLP and GenAI Specialist)

Morgan Stanley · Farmers Branch, TX · 4 mo ago

EngineeringFull-time

About the role

We're seeking a Senior Data Scientist (NLP Specialist) to join our team in Non-Financial Risk. This is a Vice President level position within the NFR Data & Analytics team.

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.
Lead and develop junior data scientists to achieve key business objectives.
Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques and capabilities.
Champion innovative approaches to improve detection of suspicious activity.

Requirements

Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields.
10+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems.
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, etc.
Experience in adhering to Software Development Life Cycle (SDLC) principles including GIT related operations.
Strong problem solving and time management skills.
Excellent written and oral communication skills.
Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics.
Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques.
Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases.

Qualifications

Typically 9-10+ years' relevant experience would generally be expected to find the skills required for this role.

Skills

Software development and system principles.
Python or Java programming skills.
Experience with AI/ML/NLP software packages.
Experience with SDLC principles including GIT.
Problem-solving and time management skills.
Financial markets and analytics expertise.
Experience with benchmark creation and evaluation.
Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases.

Benefits

Morgan Stanley offers a comprehensive benefits package including health insurance, retirement plans, and paid time off. We also provide opportunities for professional growth and development through training programs and mentorship initiatives.

Pay

The salary range for this role is $175,000 - $250,000 annually, commensurate with experience.

Schedule

This is a full-time position with standard business hours.