Python Machine Learning Model Developer

Location : New York, NY (Onsite/Hybrid)

Experience : 6+ Years

Employee Type : Full Time with Benefits

Job Description

We are seeking a highly motivated Machine Learning professional skilled in Python/R to design, develop, and implement financial and risk models. The role involves working with cross‑functional stakeholders, applying statistical and ML techniques on large datasets, and supporting regulatory stress testing and business forecasting activities.

Must Have Skills

• Develop financial and risk models using Python/R for regulatory stress testing and enterprise risk management.
• Build model execution workflows for forecasting Balance Sheet, Fee Revenues, Macroeconomic Indicators, Expenses, and related risk metrics.
• Apply machine learning, statistical modeling, and data mining techniques to enhance model accuracy and performance.
• Conduct sensitivity analysis, scenario analysis, and stress testing impact attribution.
• Collaborate with stakeholders to define project plans, deliverables, and development timelines.
• Coordinate with business, analytics, and technology teams to ensure successful model integration.
• Support coding, testing, deployment, and documentation of financial and ML models.
• Develop tools and automated processes to monitor model performance and stability.
• Conduct statistical validation tests such as regression diagnostics, time‑series checks, hypothesis testing, and performance back‑testing.
• Document methodologies, assumptions, and validation findings for audit and regulatory purposes.
• Create insights and analytical presentations using Python, JupyterHub, and visualization techniques.
• Prepare decks and reports for senior management and risk committees.
• Communicate model logic, results, and performance metrics in clear and concise f