Chelsea Greene
Senior Financial Data Scientist (Operations Research) @Office Of Financial Research
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WORK HISTORY
Senior Financial Data Scientist (Operations Research) @Office Of Financial Research
Led data science and analytical consulting within the Office of Financial Research’s Joint Analysis Data Environment (JADE), driving the integration of advanced methods in data science, operations research, and machine learning to strengthen US regulatory coordination and enhance financial stability.> Oversaw data science and analytics efforts across 12 high-impact projects and 4 federal financial regulatory agencies, ensuring alignment of technical execution with strategic priorities and fostering interagency collaboration.> Mentored 4 data scientists on project planning, analytical best practices, and stakeholder communication to elevate team performance and impact.> Guided statistical and machine learning efforts to surface key risk factors in loan data that predict government-sponsored enterprise exposure at the loan and county level.> Applied Natural Language Processing (NLP) to automate the extraction of key terms and usage restrictions from legal data agreements, improving data governance workflows.> Scoped initiatives to explore novel applications of network flow and optimal control optimization models to identify strategies for strengthening financial system stability.> Designed and implemented scalable and reusable coding standards for a Python-based workflow engine (Pydoit), enabling the data science team to efficiently automate the production of dashboards and visualizations for regulatory stakeholders.
EDUCATION
Capital Normal University
Certificate, Intensive Study of the Chinese Language and Culture
University at Buffalo
Master of Science (MS), Industrial Engineering (Operations Research)
University at Buffalo
Bachelor of Science (BS), Accounting
University of Washington
Doctor of Philosophy (PhD), Industrial Engineering (Operations Research)
ABOUT CHELSEA GREENE
I\'m a senior data scientist (optimization specialist) with a passion for transforming complex problems into practical, impactful solutions. Over the past ten years, I’ve applied analytical methods across diverse fields including healthcare, supply chain, logistics, emergency management, and finance to help decision-makers make smarter, data-driven choices. I\'m fluent in Python, R, Excel, and a variety of analytical tools. I have deep expertise in optimization and experience in statistics, machine learning, simulation, and dynamic transmission modeling. My range of technical skills combined with a proven ability to lead and collaborate across multidisciplinary teams enable me to identify and develop effective solutions for dynamic, multifaceted challenges. I take pride in making technical concepts accessible, translating methodologies and findings into clear, actionable insights for both technical and non-technical audiences. Whether I’m leading a collaborative team or tackling a tough modeling problem individually, I’m excited by opportunities to connect, learn, and innovate to solve meaningful problems. I am open to both contracting and full-time opportunities, remote or hybrid near Manchester, NH.
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