Ai Lead

We are seeking a technically strong and strategically minded AI Lead to join our Trading Compliance team. This role will focus on building AI-driven solutions to support regulatory compliance, insider trading detection, and proof-of-concept (POC) initiatives. The ideal candidate will have deep expertise in Generative AI (GenAI), Large Language Models (LLMs) including LLaMA, and experience developing Retrieval-Augmented Generation (RAG) systems. A strong engineering foundation and the ability to organize and scale codebases are essential.

• Lead the development of AI-powered POCs to enhance surveillance and detection of insider trading and regulatory breaches.
• Design and implement RAG models that integrate structured and unstructured data from trading systems, communications, and regulatory sources.
• Work with open-source and proprietary LLMs (e.g., LLaMA, GPT) to extract insights from trade data, emails, chats, and other compliance-relevant sources.
• Build scalable, production-ready AI systems that align with banking compliance standards.
• Collaborate with compliance officers, data scientists, and engineers to translate regulatory requirements into technical solutions.
• Maintain clean, modular, and well-documented codebases for long-term scalability and auditability.
• Stay current with AI advancements and regulatory changes impacting financial institutions.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in software engineering, with 2+ years in AI/ML development.
• Proven experience with GenAI, LLMs, and RAG architectures.
• Hands-on experience with LLaMA models, LangChain, Hugging Face, or similar frameworks.
• Strong Python skills and familiarity with PyTorch or TensorFlow.
• Experience working with vector databases (e.g., FAISS, Pinecone) and embedding models.
• Understanding of trading systems, financial regulations, and compliance workflows is a strong asset.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
• Excellent communication skills and ability to work across technical and non-technical teams.

• Experience in financial services, particularly in compliance or surveillance.
• Knowledge of natural language processing (NLP) techniques for analyzing communications.
• Experience with MLOps, model governance, and auditability in regulated environments.
• Familiarity with regulatory frameworks such as MiFID II, FINRA, or SEC guidelines.