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Data Scientist AI - U.S. Securities and Exchange Commission
Data Scientist
Lead advanced analytics for financial markets, building predictive models and data pipelines using Python, SQL, and machine learning to support regulatory decision‑making and improve SEC workflows.
About the role
Key Responsibilities
- Develop and deploy predictive models and statistical analyses on large financial datasets to support market surveillance and regulatory initiatives.
- Design and maintain scalable data pipelines and dashboards using Python, SQL, and visualization tools.
- Collaborate with cross‑functional teams to translate complex financial and legal requirements into actionable data solutions.
- Communicate findings to stakeholders through clear reports, presentations, and visualizations.
- Continuously evaluate and improve model performance, ensuring compliance with regulatory standards.
Requirements
- Strong proficiency in Python, SQL, and data manipulation libraries (pandas, NumPy).
- Experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch) and statistical modeling.
- Background in financial data analysis and familiarity with market data structures.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
- Effective communication skills for presenting technical insights to non‑technical audiences.
Skills
pythonmachine learningsql