Senior Data Scientist - Finance

Responsibilities

• Combine business insight and the data science toolkit to support critical finance data science initiatives using traditional machine learning, Bayesian statistics, simulation, and optimization.
• Integrate AI tools and Agents into data science workflows, experimenting with new technology to determine where it can add organizational value.
• Translate technical solutions into business terms and business requests into technical solutions. Ensure both technical and nontechnical collaborators understand the value, risks, and return on investment of Data Science projects.
• Experiment with new technologies in the Generative AI space to identify high-value organizational use cases, from automated auditing to predictive forecasting.
• What we need to see
• 5+ years of professional experience in business-centered AI and Data Science, with a demonstrated history of implementing models in production environments.
• Hands-on experience developing custom agents and multi-agent systems; proficiency with AI-native development tools (e.g., Cursor, Claude Code) and agent orchestration frameworks.
• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields. Technical Master’s or Ph.D. with a finance or business background is preferred.
• Strong technical skills, with a proven history of designing, validating, deploying, and maintaining data science models using Python, SQL, & Databricks (or similar).
• Data Science project management experience, including collaborating closely with multiple collaborators to drive projects and coordinating resources within the organization.

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