
Quantitative Model Analyst, Level 2
U.S. Bank
full-time
Posted on:
Location Type: Hybrid
Location: Charlotte • Minnesota • North Carolina • United States
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Salary
💰 $86,360 - $101,600 per year
About the role
- Responsible for the implementation and on-going monitoring for a subset of complex econometric models
- Work closely with model developers to understand aspects of a model’s design
- Document implementation procedures and generate reports used to communicate model results to senior management
Requirements
- Bachelor’s degree in a quantitative field, and three or more years of relevant experience OR
- MA/MS in a quantitative field, and less than three years of related experience.
- Proficiency in Python
- Experience with data warehousing, data structures and data quality assurance testing using SQL, or similar database language
- Thorough knowledge of statistical modeling techniques, including regression analysis, time series analysis, and parametric and non-parametric algorithms
- Strong mathematical, analytical, and problem solving skills
- Excellent technical writing skills
- Experience with model implementation, testing and controls
- General knowledge of banking, finance and stress testing
- Demonstrated ability to work efficiently and both independently and collaboratively
- Strong project management skills
- Excellent written and verbal communication skills
- Experience with Essbase a plus
Benefits
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLstatistical modeling techniquesregression analysistime series analysisparametric algorithmsnon-parametric algorithmsdata warehousingdata structuresdata quality assurance testing
Soft Skills
mathematical skillsanalytical skillsproblem solving skillstechnical writing skillsproject management skillsindependent workcollaborative workwritten communication skillsverbal communication skills