- SALARY:NONE
- New York, New York
New York, New York
Job Requisition ID90320
Hybrid - 3 days per week
Location Designation
Location New York, NY
Offered Wage $151,500.18/year
Duties
Education & Experience Requirements
Or, alternatively
Bachelors degree in Mathematics, Statistics, Operations Research, Economics or other quantitative discipline (willing to accept foreign education equivalent) and five (5) years of experience as a Quantitative Analyst (or closely related profession) performing model validation or model development in the banking, insurance or consulting industry.
Required Skills
(2) Assessing aggregate model risk and identifying potential and emerging model risks within the finance or insurance industries
(3) Performing model testing and building challenger models during asset management, financial or machine-learning model validation leveraging one or more of the following languages R, Python, MATLAB, and C++
(4) Performing model calibration assessment, model performance assessment, sensitivity and stability testing, back testing, and benchmarking against challenger models during asset management, financial, capital or machine-learning models validation leveraging Cox regression modeling for debt rating and economic forecasting models and,
(5) Reviewing model documentation relative to asset management, capital, financial or machine-learning model validation leveraging the Board of Governors of the Federal Reserve System's SR 11-7 Guidance on Model Risk.
Eligible for Employee Referral Program.
This notice is being provided as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.
Exempt
Overtime eligible
No
Discretionary bonus eligible
No
Sales bonus eligible
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. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.
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Job Requisition ID90320