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Data Scientist (NLP and GenAI Specialist)

Data Engineer • Vor Ort • Vollzeit • 📍 Budapest

Data Scientist (NLP and GenAI Specialist) role within Morgan Stanley's Legal and Compliance Division, in the Non-Financial Risk (NFR) Data & Analytics team, building surveillance models using NLP, machine learning and GenAI to detect financial crime such as money laundering, market manipulation and insider trading.

Responsibilities

  • 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 (LLMs), 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

Requirements

  • Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative field
  • 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 including GIT related operations
  • Strong problem solving and time management skills
  • Excellent written and oral communication skills

Nice to have

  • Familiarity with Financial Markets, with an emphasis on Compliance, Non-Financial Risk, Financial Crimes, 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

Soft skills

Strong problem solving and time management skillsExcellent written and oral communication skillsCollaboration across multiple stakeholder groups (Compliance, Legal, IT)

What we offer

  • Flexible working arrangements
  • Comprehensive and attractive employee benefits package (described as among the strongest in the industry)

About the company

Since 1935, Morgan Stanley has been a global leader in financial services, operating in more than 40 countries. Its values — putting clients first, doing the right thing, leading with exceptional ideas, and committing to diversity and inclusion — guide its everyday decisions. The firm has more than 80,000 employees across 1,200 offices in 42 countries.

Education: Mesterdiplomás vagy PhD fokozat számítástechnika, gépi tanulás, intelligens rendszerek, statisztika, matematika, mérnöki vagy más erősen kvantitatív területen

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