Data Scientist (NLP and GenAI Specialist)
At a glance
Mid-level AI Research role at Ms. Dallas · full-time · no salary stated · we estimate $135,000–$232,000 across the United States.
Ms has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and deploy AI models that use language processing and quantitative methods to strengthen surveillance and compliance checks
- Create systems using large language models, retrieval-augmented generation, agent-based AI and knowledge graphs
- Develop generative AI tools that reduce manual work and operating costs
- Research new analytical methods and work with Compliance, Legal, Financial Crimes and IT to encourage adoption
- Improve how models identify suspicious conduct, including potential financial crime
What you bring
- A master's or doctoral degree in computer science, machine learning, statistics or another listed quantitative field
- At least five years building applied AI, machine learning or NLP solutions and using statistical analysis on business problems
- Strong Python or Java skills, with a grounding in software design and system principles
- Hands-on familiarity with AI and NLP development packages, plus Git-based development practices
Who this fits
This is a director-level position, although the listing also describes it as mid-seniority and says eight or more years of relevant experience is generally expected. The work focuses on non-financial risk surveillance and compliance analytics. The role is based in Dallas, with a future move to 1445 Ross Ave, and interviews take place in person.
From the employer
We're seeking someone to join our team as a 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.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory, and franchise risk. This is a director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models and tools using advanced analytical techniques to help identify suspicious and/or illegal behaviors like 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, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
> 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.
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
> 5+ 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 include 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, 8+ years' relevant experience would generally be expected to find the skills required for this role
Please note that the location listed for this role is temporary. The position’s work location will transition to 1445 Ross Ave, Dallas, TX 75202 at a future date. In-Person interviews will be required for the 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 we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
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 is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.