GenAI Data Scientist – Capital Markets (Financial Services)

Job Overview We are seeking a Data Scientist with hands-on Generative AI (GenAI) experience and strong financial services / capital markets background. This role is focused on developing and enhancing machine learning and GenAI models used across asset classes such as Equities and Fixed Income. Note: Candidates must already have financial services experience. This role is not suitable for candidates without capital markets exposure. Key Responsibilities Develop and improve ML and statistical models across capital markets use cases Build predictive analytics solutions using AI/ML Design and implement GenAI solutions using LLMs, embeddings, and prompt engineering Evaluate and select open-source and commercial GenAI models Work closely with product and technology teams Perform daily data quality checks in production environments Support model performance, validation, and optimization Required Qualifications (Strict) Advanced degree in Financial Engineering or Data Science (MANDATORY) 2+ years of hands-on Data Science / ML experience Financial Services / Capital Markets experience (REQUIRED) Practical experience with LLMs / GenAI models Experience with Azure AI or OpenAI APIs Knowledge of LangChain or similar orchestration frameworks Strong skills in Python and SQL Experience with Azure ML and Excel Candidates without finance domain experience will not be considered. Preferred Qualifications Experience with RAG (Retrieval-Augmented Generation) and fine-tuning LLMs Understanding of Responsible AI, model governance, and risk controls Exposure to Prime Brokerage, Securities Lending, or Counterparty Risk Job Type: Contract Pay: $70.00 - $75.00 per hour Expected hours: 40 per week Application Question(s): Do you have an advanced degree in Financial Engineering or Data Science? Do you have prior experience working in Financial Services / Capital Markets? Which asset classes have you worked with? Which GenAI / LLM technologies have you used in production? What is your current work authorization status in the U.S.? Are you willing to work in a Hybrid model in New York City? Experience: hands-on Data Science / Machine Learning: 4 years (Required) Ability to Commute: Downsville, NY 13755 (Required) Work Location: In person