Base: $125,000 to $222,500; bonus/equity: not spec...
Hybrid
Balance sheet and revenue forecasting model development
Python and r proficiency for statistical modeling
Time series analysis and forecasting experience
The Risk Methodology Team is responsible for cutting-edge modeling methods that transform the way the bank works on balance sheet and revenue projections
Job Summary
The Risk Methodology Team is responsible for cutting-edge modeling methods that transform the way the bank works on balance sheet and revenue projections.
Employees will engage in end-to-end model development including methodology design, documentation, monitoring, and remediation of validation findings.
The role offers a hybrid working model with flexibility to work from home or in-office, along with competitive compensation and comprehensive benefits.
Matching Summary
The Risk Methodology Team is responsible for cutting-edge modeling methods that transform the way the bank works on balance sheet and revenue projections.
Salary
Base: $125,000 to $222,500; Bonus/Equity: Not specified; Benefits: Health, retirement, parental leave, and educational resources included
Skills & Requirements
Must-have
Balance sheet and revenue forecasting model development
Python and R proficiency for statistical modeling
Time series analysis and forecasting experience
Stress testing and capital planning framework knowledge
End-to-end model documentation and maintenance
Nice-to-have
Experience applying AI tools and machine learning techniques
Familiarity with asset-liability management principles
Knowledge of IFRS and US GAAP accounting frameworks
Self-starter with intellectual curiosity and critical thinking
Continuous-improvement mindset for operational excellence
Key Requirements
Master's degree in quantitative field such as Mathematics or Finance
Demonstrated hands-on experience with time series analysis
Proficiency in Python and R for production-quality coding