onsite
Data Scientist AI - Securities and Exchange Commission
Data Scientist
Lead advanced analytics for market data, building predictive models and improving SEC workflows using Python, ML, and SQL to drive data‑driven decisions in a regulatory environment.
About the role
Key Responsibilities
- Develop and deploy machine learning models to analyze financial and market data, providing actionable insights for regulatory oversight.
- Design and maintain scalable data pipelines and databases using SQL and Python, ensuring data integrity and accessibility.
- Collaborate with cross‑functional teams to translate complex legal and financial requirements into technical solutions.
- Present findings to stakeholders, translating technical results into clear, non‑technical recommendations.
- Continuously evaluate and improve analytical workflows, incorporating emerging technologies and best practices.
Requirements
- Proven experience in data science, with strong proficiency in Python and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Solid background in statistical modeling, hypothesis testing, and quantitative analysis.
- Hands‑on experience with SQL and relational database design.
- Knowledge of financial markets, instruments, and regulatory frameworks is highly desirable.
- Excellent communication skills and ability to work collaboratively in a multidisciplinary environment.
Skills
pythonmachine learningsql