Senior Quantitative Model Analyst - Wholesale Modeling

U.S. Bank; New York (NY); Hybrid; USD 148,000 - 175,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

Parental leave

Vacation time (2–5 weeks)

401(k) retirement plan

Job summary

U.S. Bank is seeking a quantitative professional to support the Model Development & Decision Science (MDDS) team within Credit Risk Administration.

You will assist with the development, maintenance, and monitoring of expected loss forecasting models for the Commercial & Industrial portfolio in support of CECL, CCAR, and related governance. The role emphasizes data preparation, analyses, and documenting results while partnering with risk, finance, validation, and audit teams in a regulated

Qualifications

• Bachelor’s degree in a quantitative field and 10+ years of relevant experience.
• MA/MS in a quantitative field, and six or more years of related experience.
• PhD in a quantitative field, and five or more years of related experience.

Responsibilities

• Model development: design plan including methodology, testing, benchmarking and documentation under guidance.
• Data preparation and quality checks to support model development and monitoring.
• Collaborate with risk, finance, validation and audit partners to document changes.
• Prepare routine performance metrics and governance exhibits; summarize results clearly.
• Document work for reproducibility; support governance, validation and regulatory materials.
• Identify opportunities to streamline data pulls, reporting and repeatable analyses.

Skills

Quantitative analysis

Python

SQL

R

SAS

Data visualization

Attention to detail

Cross-functional collaboration

Education

Bachelor’s degree in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Tools

SAS

Git

Excel

PowerPoint

Job description

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

We are seeking a motivated individual contributor to support our Model Development & Decision Science (MDDS) team within Credit Risk Administration (CRA). This role will assist with the development, maintenance, and monitoring of expected loss forecasting models for our Commercial & Industrial portfolio in support of CECL, CCAR, and related internal risk management needs.

About the CRA Team

We are a collaborative team that supports the bank’s credit risk management through a focus on Customer, Process, Talent, and Data.

About the Role

In this role, you will support model development work for Commercial & Industrial credit risk by helping prepare data, run analyses, and document results. You will partner with teammates and stakeholders in credit portfolio risk management, finance, model validation, and audit by providing clear summaries, well-organized materials, and reproducible code. This position is well-suited for someone who enjoys quantitative problem solving and wants to grow in model development within a regulated environment.

Key Activities

• Model development: design model development plan including model design, model methodology, model selection, model testing, benchmarking, and documentation under guidance of senior model developers.
• Data preparation and analysis: compile datasets, perform quality checks, and run standard exploratory analysis to support model development and monitoring.
• Partner with business and risk partners to understand data definitions and document changes in portfolio attributes or reporting needs.
• Monitoring and reporting: help prepare routine performance metrics and summaries; flag data or performance issues for follow-up.
• Documentation support: assist with preparing exhibits, tables, and written summaries used in governance, validation, and regulatory-related materials.
• Process improvement: identify opportunities to streamline data pulls, reporting, and repeatable analyses using existing tools and team guidance.
• You may collaborate with onshore and offshore partners to complete repeatable data and reporting tasks, following established procedures and quality checks.

Core Competencies

• Experience supporting quantitative analysis and basic predictive modeling; ability to explain results clearly to technical and non-technical partners.
• Working knowledge of common analytics tools (e.g., Python/R/SAS, SQL) and comfort learning new systems and processes.
• Strong attention to detail and ability to execute well-defined tasks in a controlled environment, with appropriate escalation when issues arise.
• A collaborative, customer-focused mindset and willingness to learn credit risk concepts and governance expectations.

Basic Qualifications

• Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience
• MA/MS in a quantitative field, and six or more years of related experience
• PhD in a quantitative field, and five or more years of related experience

Preferred Skills/Experience

• Master or Ph.D degree in a quantitative or related field (e.g., economics, finance, mathematics, statistics, engineering, computer science) or equivalent practical experience.
• 5+ years of experience in analytics, reporting, statistical analysis, or related quantitative work (financial services experience is a plus).
• Proficiency with at least one programming or analytics tool (e.g., Python, R, SAS, SQL) and ability to learn additional tools as needed.
• Clear written and verbal communication skills, including the ability to document work and summarize results.
• Comfort working with defined controls and review processes (e.g., peer review, documentation standards, and change management).
• Ability to manage multiple tasks, meet deadlines, and maintain quality in a fast-paced environment.
• Strong interpersonal skills and ability to work effectively with partners across risk, finance, validation, and technology.
• Ability to build strong relationships with a wide range of individuals from risk, finance, model validation, technology, and regulators.
• Strong analytical and problem-solving skills, coupled with thoroughness and attention to detail.
• Ability to prioritize work, meet deadlines, work under pressure and independently while balancing multiple priorities in a dynamic and complex environment.
• Strong analytical, organizational, problem-solving, and project-management skills.
• Experience working with moderately large datasets and applying standard statistical techniques (e.g., regression, time series basics) is a plus.
• Familiarity with credit risk concepts (e.g., probability of default, loss given default) or exposure to model governance/validation processes is a plus.

Preferred Skills

• Comfort using Microsoft Excel and PowerPoint to summarize results and create clear exhibits.
• Experience writing clean, well-documented code in Python, R, SAS, or SQL.
• Basic automation or scripting exposure (e.g., simple batch jobs, scheduled tasks, or reusable notebooks) is a plus.
• Familiarity with SQL and relational databases for querying and validating data.
• Familiarity with basic version control concepts (e.g., using Git) is a plus.
• Exposure to cloud-based analytics environments (e.g., AWS or Azure) is helpful but not required.
• Interest in learning new analytics techniques and tools as the team evolves.
• Experience using standard Microsoft tools (Excel, PowerPoint, Word) to document and communicate analysis.
• Exposure to basic data visualization tools (e.g., Power BI or similar) is a plus.

Location Expectations

This role requires working from a U.S. Bank Location three (3) or more days per week. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

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

Review our full benefits available by employment status here.

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

Pay Range: $148,495.00 - $174,700.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

Posting may be closed earlier due to high volume of applicants.