Applied Quantitative Modeling Analyst

U.S. Bank; Charlotte (NC); On-site; USD 86,000 - 102,000; Full time

Job summary

U.S. Bank in Charlotte, NC seeks a quantitative analyst to build complex statistical models for PPNR forecasting within Corporate Treasury Quantitative Finance. The role covers model development, validation, documentation, and presenting results to stakeholders across the bank.

Ideal candidates have a quantitative degree and 3+ years of experience, with Python and time-series skills, and the ability to manage multiple tasks and communicate effectively.

Qualifications

• Bachelor’s degree in a quantitative field or MA/MS with relevant experience.
• Experience with regression, time-series, and model validation.
• Strong data handling and analytical skills; communicating results to stakeholders.

Responsibilities

• Build complex statistical models for PPNR forecasting.
• Document model development and validation processes.
• Communicate modeling approaches to stakeholders across the bank.
• Support Treasury decision-making with macroeconomic forecasts.

Skills

Regression techniques

Time series analysis

Python

Model validation tests

Data compilation

Risk factors knowledge

Regulatory knowledge

Project management

Communication skills

Education

Bachelor's degree in quantitative field

MA/MS in quantitative field

Job description

U.S. Bank in Charlotte, NC seeks a quantitative analyst to build complex statistical models for PPNR forecasting within Corporate Treasury Quantitative Finance. The role covers model development, validation, documentation, and presenting results to stakeholders across the bank.

Ideal candidates have a quantitative degree and 3+ years of experience, with Python and time-series skills, and the ability to manage multiple tasks and communicate effectively.