Senior Data Scientist (NLP and GenAI Specialist)

Morgan Stanley; Dallas (TX); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Comprehensive employee benefits

Diversity and inclusion programs

Job summary

A global financial services firm is seeking a Senior Data Scientist (NLP Specialist) in Dallas to develop AI models and enhance compliance monitoring. The role requires a Master's or PhD and over 10 years of experience in AI/ML, including strong skills in Python and familiarity with financial compliance. You will lead teams, innovate detection methods, and collaborate with various stakeholders to tackle complex business problems. This position is pivotal in maintaining integrity in financial operations and offers comprehensive employee benefits.

Qualifications

• 10+ years of experience in AI/ML/NLP industry.
• Experience with software design principles.
• Familiarity with financial markets and compliance.

Responsibilities

• Design systems using Large Language Models (LLMs).
• Create AI solutions to increase efficiency.
• Conduct research on analytical methods.

Skills

Building AI/ML/NLP solutions

Statistical analysis

Problem solving

Time management

Excellent communication

Education

Master's or PhD in Computer Science, Machine Learning, Statistics

Tools

Python

Java

LangChain

PyTorch

HuggingFace

GIT

Job description

Overview

Senior Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to improve surveillance and compliance monitoring. This is a Vice President level position within the NFR Data & Analytics team in the Legal & Compliance division, responsible for designing and optimizing surveillance models and tools to identify suspicious and/or illegal behaviors such as money laundering, market manipulation, insider trading, unfair sales or trading practices, and other financial crimes.

Since 1935, Morgan Stanley is known as a global leader in financial services, with a presence in more than 40 countries.

What you'll do

• 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.

What you'll bring to the role

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

What you can expect from Morgan Stanley

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated and have a long-standing history. Our values—putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back—guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering attractive and comprehensive employee benefits and perks in the industry.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).