Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Core
Design and deploy advanced AI/NLP models and GenAI solutions to automate compliance monitoring and detect financial crimes like money laundering and insider trading.
Role type
Director-level NLP specialist (hands-on IC with strategy)
Builds
High-performance surveillance systems, GenAI automation tools, and knowledge graph analytics for financial crime detection
Domain
Financial services, Legal & Compliance, Non-Financial Risk
Deliverable
production ML models | product features
Required skills
NLP, Machine Learning, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, knowledge graph analytics, Python, Java, LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, SDLC, GIT, Vector Stores, Linux, SPARQL, Graph Databases
Preferred skills
Financial markets knowledge (Compliance, Fraud analytics), LLM-as-a-Judge techniques, benchmark creation and evaluation
Technologies
LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, SPARQL
Responsibilities
Design high-performance systems leveraging LLMs and RAG; Create GenAI-based solutions to automate manual tasks; Conduct research to identify novel methods for enhancing analytical solutions; Collaborate with stakeholders to promote adoption of AI/ML/NLP capabilities; Champion innovative approaches to improve detection of suspicious activity
Seniority
Director, hands-on IC with strategy & mentorship
