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Quant Engineer Jobs in Minnesota (NOW HIRING)

North Wind

Safety Engineer

Saint Paul, MN · On-site

$80K - $110K/yr

Safety Engineer We are seeking an experienced Systems Safety Engineer to join our Test Operations ... Perform quantitative and qualitative system safety analyses across facility development, and ...

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Quant Engineer information

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

What are popular job titles related to Quant Engineer jobs in Minnesota?

For Quant Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in Minnesota look for?

The top searched job categories for Quant Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Quant Engineer jobs?

Cities in Minnesota with the most Quant Engineer job openings:

Quant Engineer jobs near you

Integration and Automation Leader - Credit Risk Modeling

Minneapolis, MN • On-site

US Bank
Banking and Credit Intermediation • 10K+ employees
Learn more about US Bankexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 hours ago

Key responsibilities

  • Partner with technology to lead automation initiatives and redesign processes across the model lifecycle, including development, implementation, production, monitoring, and reporting.

  • Develop and maintain reusable code libraries, automated data pipelines, and containerized environments to support scalable and repeatable model operations.

  • Lead the selection, onboarding, and maintenance of technology tools and platforms used in credit risk model development and operations.

U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

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 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 (MA/MS/PhD strongly preferred) and eight or more years of relevant experience
- Four or more years of experience leading a quantitative modeling team

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 ourdisability 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 theE-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: $149,515.00 - $175,900.00

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.

What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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