Senior Mortgage Modeling & Risk Analytics Analyst

U.S. Bank; Hopkins (MN); On-site; USD 93,000 - 109,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

401(k) and retirement plan

Paid vacation 2–5 weeks

Holidays

Parental leave

Sick leave

Equity stock purchase plan

Job summary

U.S. Bank in Minnesota seeks a senior quantitative analyst to lead complex model development and validation for mortgage-related projects. You will work with data, design and validate models, and present findings to leadership.

The role requires a strong statistical background, experience with SAS/R/Python, and the ability to navigate regulatory considerations. Collaboration with cross-functional teams and a path toward subject-matter expertise are expected.

Qualifications

• Bachelor’s degree in a quantitative field, and three or more years of relevant experience
• MA/MS in a quantitative field, and less than three years of related experience
• Statistical modeling background with regression and time-series techniques
• Experience with data compilation and programming in Python, VBA, and C++
• Knowledge of mortgage servicing rights (MSR) valuation and market risk

Responsibilities

• Performs all phases of large complex model development, validation, and performance management for various projects
• Interact directly with senior managers requiring advanced presentation and relationship-building skills
• Progress to a subject matter expert in one or more areas and understand applicable laws and regulatory trends

Skills

Statistical modeling

SAS

R

Python

VBA

C++

Regression techniques

Time series (ARIMA, GARCH)

Education

Bachelor’s degree in a quantitative field

MA/MS in a quantitative field

Tools

SAS

R

Python

VBA

C++

Job description

U.S. Bank in Minnesota seeks a senior quantitative analyst to lead complex model development and validation for mortgage-related projects. You will work with data, design and validate models, and present findings to leadership.

The role requires a strong statistical background, experience with SAS/R/Python, and the ability to navigate regulatory considerations. Collaboration with cross-functional teams and a path toward subject-matter expertise are expected.