Quantitative Model Analyst - Wholesale Modeling

US Bank; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

U.S. Bank in New York seeks a senior contributor for the Model Development & Decision Science team within Credit Risk Administration to support development, maintenance, and monitoring of expected loss forecasting models for the Commercial & Industrial portfolio, in support of CECL, CCAR, and internal risk management needs.

You will prepare data, run analyses, and document results. You will partner with risk, finance, model validation, and audit teams to provide clear summaries and reproducible

Qualifications

• Bachelor's degree in a quantitative field with eight or more years of relevant experience.
• MA/MS in a quantitative field with five or more years of related experience.
• PhD in a quantitative field with four or more years of related experience.

Responsibilities

• Support model development for Commercial & Industrial credit risk, preparing data and running analyses.
• Document results with clear summaries and reproducible code for governance and regulatory materials.
• Collaborate with risk, finance, model validation, and audit partners to understand data definitions and portfolio attributes.

Skills

Quantitative analysis

Python

R

SAS

SQL

Communication

Attention to detail

Collaboration

Education

Bachelor's degree in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Tools

Python

R

SAS

SQL

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

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 eight or more years of relevant experience
• MA/MS in a quantitative field, and five or more years of related experience
• PhD in a quantitative field, and four or more years of related experience

OR

OR

OR

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.
• 4 + 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.