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 DatabasesTypically, 8+ years' relevant experience would generally be expected to find the skills required for this role. 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.