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Quantitative Model Developer Jobs (NOW HIRING)

Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines * One year of relevant analytics or modeling ...

... programming skills in SAS, Python, SQL, or similar Understanding of AML regulations Ability to ... model behavior to non-technical stakeholders Strong organizational, analytical, and project ...

... models. - Quantitative model construction and maintenance; responsible for a large range of ... Qualifications: - Advanced quantitative skills. - Proficiency in a high-level programming language ...

... programming skills in SAS, Python, SQL, or similar • Understanding of AML regulations • Ability ... model behavior to non-technical stakeholders • Strong organizational, analytical, and project ...

... programming skills in SAS, Python, SQL, or similar Understanding of AML regulations Ability to ... model behavior to non-technical stakeholders Strong organizational, analytical, and project ...

Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines * One year of relevant analytics or modeling ...

... programming skills in SAS, Python, SQL, or similar Understanding of AML regulations Ability to ... model behavior to non-technical stakeholders Strong organizational, analytical, and project ...

This role sits at the intersection of quantitative modeling and high-performance engineering ... similar to roles often titled Quant Developer or Strategist. Your Core Responsibilities * Design ...

This role sits at the intersection of quantitative modeling and high-performance engineering ... similar to roles often titled Quant Developer or Strategist. Your Core Responsibilities * Design ...

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Quantitative Model Developer information

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$98K

$169.7K

$259.5K

How much do quantitative model developer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for quantitative model developer in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Model Developer, and why are they important?

To excel as a Quantitative Model Developer, you need strong mathematical and statistical skills, proficiency in programming languages like Python, R, or C++, and typically a degree in mathematics, statistics, computer science, or a related field. Experience with modeling frameworks, data analysis tools, and familiarity with quantitative finance platforms such as MATLAB or QuantLib are commonly required. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with cross-functional teams. These abilities are essential for developing accurate, reliable models that inform financial decision-making and risk management.

How does a Quantitative Model Developer typically collaborate with other teams within a financial institution?

Quantitative Model Developers frequently work alongside risk management, trading, and IT departments to ensure that financial models are both robust and aligned with business objectives. They often translate complex mathematical concepts for stakeholders, assist in model implementation, and respond to feedback or changing requirements. Collaboration is key, as they must ensure models are technically sound, regulatory compliant, and seamlessly integrated into production systems. Regular communication and interdisciplinary teamwork are essential for resolving challenges and delivering effective solutions.

What is the difference between Quantitative Model Developer vs Quantitative Analyst?

AspectQuantitative Model DeveloperQuantitative Analyst
Primary FocusDesigning, developing, and implementing quantitative modelsAnalyzing data to inform trading, investment, or risk decisions
Skills & CertificationsProgramming (Python, C++, R), quantitative finance, model developmentData analysis, statistical skills, financial knowledge
Work EnvironmentQuant teams in finance firms, hedge funds, banksResearch teams, trading desks, investment firms
Common UsageBuilding models used in trading algorithms and risk managementInterpreting data to support investment strategies

While both roles require quantitative skills and finance knowledge, Quantitative Model Developers focus on creating and coding models, whereas Quantitative Analysts analyze data to guide decisions. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What does a Quantitative Model Developer do?

A Quantitative Model Developer designs, implements, and maintains mathematical models used in finance, banking, or other industries to analyze data and support decision-making. They use programming languages, statistical techniques, and financial theory to develop models for tasks such as risk assessment, pricing, or forecasting. These professionals work closely with traders, analysts, and other stakeholders to ensure the models are accurate, efficient, and aligned with business goals.
More about Quantitative Model Developer jobs
What cities are hiring for Quantitative Model Developer jobs? Cities with the most Quantitative Model Developer job openings:
What states have the most Quantitative Model Developer jobs? States with the most job openings for Quantitative Model Developer jobs include:
What job categories do people searching Quantitative Model Developer jobs look for? The top searched job categories for Quantitative Model Developer jobs are:
Infographic showing various Quantitative Model Developer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 2% Part Time, 5% Temporary, 2% Contract, and 2% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Model Analyst - Cash Flow Modeling

Quantitative Model Analyst - Cash Flow Modeling

U.S. Bank

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

38th of 141 rated banks


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 strong, decisive, and results-oriented quantitative analyst to join our Quantitative Finance Forecast & Production (QFFP) team within U.S. Bank's Corporate Treasury Division. In this role, the successful candidate will lead initiatives related to model implementation and infrastructure development, supporting key decision-making processes across Corporate Treasury. Key responsibilities include the research, design, deployment, and maintenance of an efficient forecasting platform, along with the implementation and operationalization of advanced statistical models to support balance sheet forecasting and risk analytics.
About QFFP
QFFP is a team within Corporate Treasury in the CFO organization responsible for producing forecasts that are used in capital, liquidity, and interest rate risk measurement, as well as baseline financial planning. QFFP leverages proprietary quantitative methods and systems to simulate and forecast comprehensive balance sheet and income statement metrics under a wide array of hypothetical scenarios. The team regularly partners with other strategy and risk management groups, such as Asset Liability Management and Capital & Liquidity Risk Management, as well as the Finance Data team.
Core Competencies
• Experience leading quantitative teams, strong understanding of predictive modeling techniques, and familiarity with balance sheet data at large regulated financial institutions.
• Strong technology background including fundamental software engineering principles, automation tools, cloud-based tools and infrastructure, database systems, and dashboard/visualization tools.
• Exceptional communication skills and ability to drive transformation initiatives that span multiple teams and stakeholders.
• A mindset for curiosity, collaboration, customer centricity, and risk management.
Basic Qualifications
- Bachelor's degree in a quantitative field, and eight or more years of relevant experience
OR
- MA/MS in a quantitative field, and five or more years of related experience
OR
- PhD in a quantitative field, and four or more years of related experience
Preferred Skills/Experience
• Master's Degree or PhD in a quantitative field such as quantitative finance, engineering, data science, mathematics, or statistics.
• 4 or more years of experience in a leading role in model development/implementation, software engineering, or related area.
• Strong familiarity with balance sheet modeling and cash flow forecasting.
• Deep understanding of banking, financial metrics, and asset & liability management.
• Knowledge of banking regulation and requirements for stress testing.
• Experience working with QRM.
• Excellent executive presence and verbal and written communication skills.
• Ability to build strong relationships with a wide range of individuals from finance, risk, 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 large datasets and building or validating advanced statistical models (including regression and economic factor models)
• Extensive programming experience in Python, familiar with profiling and performance optimization techniques.
• Experience with MS Word, Excel, and PowerPoint.
• Relational databases, SQL query optimization.
• Code management and version control using Git.
• Cloud-based solution deployment (AWS or Azure) and containerization/orchestration tools (e.g. Docker, Kubernetes).
• Al/ML and GenAI approaches.
• Microsoft Power Automate/ Power Apps.
• PowerBI or other visualization dashboards.
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: $119,765.00 - $140,900.00
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.

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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

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