Quant Engineer Jobs in Minnesota (NOW HIRING)

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Job Description
We are looking for a strategic and results-driven quantitative leader to lead partnering with technology and lead automation initiatives within the Credit Risk Model Operations and Strategy team, as part of the Model Development and Decision Science (MDDS) organization. This role will focus on redesigning and optimizing key processes across the model lifecycle-including implementation, production, and performance monitoring-as we migrate from SAS to Azure Databricks and Python.
About the CRA Team
We are a highly dynamic and talented team which delivers on our mission through four pillars: Customer, Process, Talent, and Data.
Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers.
Mission | We deliver data-driven information solutions to protect our stakeholders and inform the most significant financial decisions in the bank.
Values | In addition to U.S. Bank core values, we prioritize collaboration, integrity, simplicity, and continuous learning.
About the Role
We are seeking a strategic and technically skilled leader to partner with technology and drive automation within the Credit Risk Model Development and Decision Science (MDDS) team. This role will focus on enhancing model production, model monitoring, model implementation, reporting, and documentation capabilities through the development and maintenance of reusable code libraries, robust data source connections, containerized environments, testing and execution pipelines. The leader will also lead evaluation, selection, onboarding, and lifecycle maintenance of any third-party tools and platforms leveraged by the Credit Risk Model Development and Decision Science (MDDS) team. You will be responsible for designing systems and processes for model development, production, monitoring, and implementation. The models support loan portfolio stress testing (CCAR), the allowance for credit losses (ACL / CECL), counterparty risk, and commercial risk rating scorecards. The ideal candidate will have hands-on experience in system design, a strong foundation in data science, and proficiency in quantitative programming languages.
Key Activities
This role centers on helping our team migrate our model infrastructure from SAS to Azure Databricks and Python. The emphasis is on building strong architectural foundations that support repeatable processes, improve efficiency, and facilitate automation. This role will partner with technology to lead the selection, onboarding, and maintenance of technology tools and platforms used in model operations and redesigning processes to be modular, scalable, and well-controlled.
The processes in scope for this role include:

• Model development - build repeatable, standardized processes and tools for model development.
• Implementation - scalable tools to onboard models into production.
• Production - platforms for executing models for core production purposes.
• Monitoring - automated systems to track and assess model performance.
• Reporting - integrations and pipelines for dashboards and formatted output delivery.

Core Competencies:

• Strong understanding of technology including fundamental software engineering principles, automation tools, cloud-based tools and infrastructure, database systems, and dashboard/visualization tools particularly in support of modeling /quantitative platforms.
• Exceptional leadership skills and ability to drive initiatives that span multiple teams and stakeholders.
• A mindset for collaboration, customer centricity, and risk management.
• Experience with risk modeling and data at large regulated financial institutions.
• Familiarity with AI-driven tools and automation platforms (e.g., Microsoft Copilot, Microsoft Power Platform) to streamline data operations and accelerate data delivery.

Innovation & Automation Leadership

• Design, build, and maintain reusable code libraries and frameworks to support model development, implementation, production and monitoring activities.
• Partner with technology to lead the selection, onboarding, and maintenance of technology tools and platforms used in model operations.
• Develop and manage automated data pipelines and containerized environments (e.g., Docker, Kubernetes) for scalable data processing, model operations.
• Implement orchestration tools (e.g., Apache Airflow) to streamline model operations workflows, reporting, and documentation.

Training & Enablement

• Develop and deliver onboarding programs for new team members, focusing on tooling, infrastructure, and best practices.
• Provide ongoing training and support to ensure effective use of automation tools and libraries.
• Foster a culture of continuous learning and innovation within the team.

Stakeholder Engagement

• Partner with model developers and model operations to assess and meet their technological needs in a timely and effective manner.
• Contribute to reporting and presentations for senior management and risk committees.

Basic Qualifications

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

Preferred Skills/Experience

• Object-oriented python programming
• Databricks experience required in model development, model production, and/or model monitoring.
• Relational databases, SQL query optimization
• Code management and version control using Git
• AI/ML and generative AI approaches
• Strong project management and organizational skills

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:
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• 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 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.
E-Verify
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.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00
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.
Posting may be closed earlier due to high volume of applicants.