This role involves validating economic forecasting, stress testing, and liquidity risk models within a team of over 200 quantitative analysts
Job Summary
This role involves validating economic forecasting, stress testing, and liquidity risk models within a team of over 200 quantitative analysts.
Candidates must possess strong communication skills to present complex technical concepts to senior management and regulators.
The position offers the opportunity to leverage cloud computing and machine learning technologies to unlock opportunities for everyday people.
Matching Summary
This role involves validating economic forecasting, stress testing, and liquidity risk models within a team of over 200 quantitative analysts.
Salary
Base: $229,900 - $262,400 (McLean, VA); Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and other benefits included
Skills & Requirements
Must-have
Statistical or econometric modeling
Linear and logistic regression
Programming in R, Python, or SQL
Presenting statistical concepts to non-statistical audiences
Machine learning experience
Agile development methodologies
Nice-to-have
Survival analysis modeling
Time-series analysis
Panel data analysis
Cross-sectional data analysis
Large dataset management over 1M records
People management experience
Key Requirements
Master's degree in quantitative field plus 5 years experience OR PhD plus 2 years experience
At least 5 years of experience in statistical/econometric modeling
At least 5 years of experience in linear/logistic regression
At least 5 years of experience in R, Python, or SQL programming
At least 5 years of experience presenting to non-statistical audiences