Data and Analytics Specialist in Natural Language Processing (NLP) (Hybrid) at Morgan Stanley

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Natural Language Processing, Machine Learning, AI Models, Statistical Analysis, Python, Java, LangChain, LangGraph, LlamaIndex, OpenAI SDK, PyTorch, HuggingFace, Graph Databases, Financial Crimes, Compliance, Fraud Analytics

Industry

Financial Services

Description

Development of AI models leveraging Natural Language Processing (NLP), Machine Learning and related quantitative techniques to improve surveillance and compliance monitoring activities Design high-performance systems utilizing cutting-edge NLP/ML techniques including large language models, Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics Create GenAI based solutions to enhance efficiency and achieve significant cost savings in labor-intensive manual tasks Undertake research efforts to identify novel methods to deliver efficiency and effectiveness across analytical solutions Work with stakeholders of the Compliance, Legal, Financial Crimes, and IT departments to champion the adoption of new AI/ML/NLP approaches, techniques and capabilities Master's or PhD degree in Computer Science, Machine Learning, Statistics, Mathematics, Engineering or other highly quantitative field At least 6 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, LlamaIndex, OpenAI SDK, PyTorch, HuggingFace, etc. Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations Familiarity with Financial Markets, with an emphasis on Compliance, Non-Financial Risk, Financial Crimes, and Fraud analytics. 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. 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. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

Responsibilities

Develop AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring. Collaborate with various stakeholders to implement new AI/ML/NLP techniques and solutions.