Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Core
Develop and deploy advanced AI/NLP models for surveillance and compliance monitoring to detect financial crimes like money laundering and insider trading.
Role type
Director-level NLP Data Scientist
Builds
GenAI-based surveillance systems, LLM/RAG solutions, and knowledge graph analytics for financial crime detection
Domain
Financial Services / Compliance / Non-Financial Risk
Deliverable
production ML models
Required skills
NLP, Machine Learning, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI, Knowledge Graph Analytics, Python, Java, PyTorch, HuggingFace, LangChain, Vector Stores, Graph Databases, SPARQL, Linux, SDLC, GIT, LLM-as-a-Judge techniques
Preferred skills
Financial markets knowledge (Compliance, Fraud analytics), Software design principles
Technologies
LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, Vector Stores, Linux, SPARQL, Graph Databases
Responsibilities
Design high-performance systems using LLMs, RAG, and Agentic AI; Create GenAI solutions to automate tasks; Conduct research on novel analytical methods; Collaborate with Compliance, Legal, and IT stakeholders; Champion innovative detection approaches
Seniority
Director, hands-on IC
