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
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 formats

Strong proficiency in Python (R experience is a plus)
Knowledge of machine learning algorithms and statistical modeling
Experience with regression models, time-series analysis, statistical tests, and ML model evaluation techniques
Ability to work with large structured/unstructured financial datasets
Excellent written and verbal communication skills
Ability to collaborate across teams and manage multiple workstreams
Relevant hands-on experience in model development, financial analytics, or risk modeling
Strong problem-solving and analytical thinking abilities

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Machine Learning Model Developer, Python/R

Key skills