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Quantitative Developer Jobs in Minneapolis, MN (NOW HIRING)

Master's degree in Marketing, Data Analytics, Engineering, Mathematics or a related quantitative field and 2 years of related work experience in the food and agriculture industry; OR Bachelor ...

Senior Investment Analyst - Parametric

Edina, MN ยท On-site

$70 - $140/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Programming proficiency in Python or another language used for quantitative analysis. * Proficiency in Microsoft Excel and the ability to learn additional analytical and software platforms.

New

... metrics (quantitative and qualitative), overall usability vision on projects, and recommend ... Provide consultation to visual designers and developers to ensure defined UX-planning is executed ...

Data Query Tools (TOAD, PL/SQL Developer, etc). Must have at least 5 years experience with ... S. in Computer Science or a related quantitative discipline preferred. The candidate must have ...

Engineering Manager

Big Lake, MN ยท On-site

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The engineering manager will oversee manufacturing engineering, automation team, tool room, and ... LEAN / Six Sigma training and demonstrated application. * MBA Quantitative Data : * Directly ...

Engineering Manager

Big Lake, MN ยท On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The engineering manager will oversee manufacturing engineering, automation team, tool room, and ... LEAN / Six Sigma training and demonstrated application. * MBA Quantitative Data : * Directly ...

New

Showing results 21-40

Quantitative Developer information

See Minneapolis, MN salary details

$102.3K

$177.2K

$270.9K

How much do quantitative developer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for quantitative developer in Minneapolis, MN is $177,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $207,700.00 per year, depending on experience, location, and employer.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What are the key skills and qualifications needed to thrive as a quantitative developer?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What are popular job titles related to Quantitative Developer jobs in Minneapolis, MN?

For Quantitative Developer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Quantitative Developer jobs in Minneapolis, MN look for?

The top searched job categories for Quantitative Developer jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Quantitative Developer jobs?

Cities near Minneapolis, MN with the most Quantitative Developer job openings:

Infographic showing various Quantitative Developer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $177,181 per year, or $85.2 per hour.

FR 2052a Data Scientist Manager

Federal Reserve Bank of San Francisco

Minneapolis, MN โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

CompanyFederal Reserve Bank of MinneapolisThe Federal Reserve Bank of Minneapolis has an exciting opportunity for an experienced professional with either advanced data science skills or deep liquidity risk expertise. The successful candidate will manage the FR 2052a team of data scientists responsible for processing, analyzing, and monitoring liquidity data submitted by Large and Foreign Banking Organizations (LFBOs). This role is ideal for a data scientist looking to apply their skills to liquidity risk management or a liquidity risk specialist ready to lead a data-driven analytical team.
The FR 2052a team works with the Complex Institution Monitoring Report, a critical regulatory dataset that provides quantitative information on assets, liabilities, funding activities, and contingent liabilities. This data supports the Federal Reserve's supervisory surveillance program and enables monitoring of liquidity risk profiles for institutions subject to Category I, II, III, or IV standards under Regulations YY and LL.
The manager will oversee the team's work with very large and complex datasets, lead collaboration with System stakeholders including the FR 2052a team in New York, dedicated supervisory teams for LFBO firms, and staff at the Board of Governors. The individual will guide the team's analytical efforts, ensure high-quality reporting and data validation processes, and provide strategic direction for monitoring liquidity positions during both normal and stress periods.

This position requires a regular on-site presence.

Responsibilities:

  • Manage and lead the FR 2052a data science team, including hiring, training, mentoring, and developing staff to accomplish team objectives and deploy resources effectively

  • Oversee data extraction, cleaning, and organization processes; lead the transformation of large-scale datasets from external to internal systems in a manner suitable for analysis

  • Serve as a subject matter expert on complex liquidity datasets; design, implement, and supervise data quality tests and validation processes

  • Design, maintain, and manage system databases, including ownership of data security protocols, provisioning of database access, and mapping and maintenance activities

  • Collaborate with various System stakeholders to implement database and information system enhancements; support vendor data governance initiatives

  • Lead process automation efforts by identifying opportunities, designing enhancements, and implementing automated solutions

  • Conduct and supervise analyses of complex technical and policy issues involving modeling, data analysis, and liquidity risk; recommend new approaches and strategies

  • Plan, execute, and close projects involving internal teams, supervisees, and external partners

  • Prepare and deliver clear, accurate, and concise communications both orally and in writing to Section/Project Teams, Division leadership, and external stakeholders

  • Present work at forums within and across Divisions to share knowledge and foster collaboration across the organization

  • Work cross-functionally with peers and colleagues at different levels across the Federal Reserve System to solve problems and improve quality and service

  • Manage multiple projects and work processes simultaneously in a timely and efficient manner

  • Perform other duties as assigned

Qualifications:

  • Bachelor's degree in quantitative subjects such as computer science, statistics, mathematics, physics, or engineering OR in finance, economics, or related field with relevant quantitative background

  • Minimum 5 years of related experience in data science, financial analysis, or liquidity risk management

  • Experience with FR 2052a datasets and knowledge of translating the datasets into practical liquidity risk supervisory information OR strong data science background with ability to learn liquidity risk concepts

  • Proficiency in computational/statistical modeling, programming, and mathematics

  • In-depth understanding of financial institutions and markets

  • Demonstrated aptitude for supervising and managing technical staff

  • Project management skills with ability to manage complex procedures, tasks, and project workflows

  • Strong interpersonal and communication skills with ability to interact effectively with stakeholders across the Federal Reserve System

  • Proven ability to communicate expectations clearly and supervise staff in the effective performance of their duties

  • Ability to travel up to 20%, primarily to other Federal Reserve Bank locations; typical travel is expected to be 5-10%

Preferred Qualifications:

  • Master's degree or PhD in quantitative field, finance, economics, or related field

  • Experience with open-source programming languages

  • Proficiency in R and knowledge of R-coding best practices

  • Prior experience in financial services supervision or regulatory reporting

  • Knowledge of liquidity risk management principles and regulatory frameworks (Regulations YY and LL)

Salary & Benefits:

The full salary range is $151,500 - $189,359 - $227,200. The expected starting salary range is $151,500 - $189,359. Salary offer will be based on qualifications/experience of the candidate, alignment with market data, the needs of the position, our total compensation package, and internal equity.

Our total rewards program offers benefits that are the best fit for you at every stage of your career:

  • Comprehensive healthcare options (Medical, Dental, and Vision)

  • 401(k) match, and a fully-funded pension plan

  • Paid time off and holidays

  • Free public transportation passes

  • Annual educational assistance

  • On-site fitness facility

  • Professional development programs, training and conferences

  • And more...

The Minneapolis Fed is committed to fostering an environment where all employees are respected and valued. We provide equal employment opportunity to all persons and we work together to pursue an economy that works for all of us.

Additional Information:

This position requires access to confidential supervisory information (CSI) and/or Federal Open Market Committee (FOMC) information. Access to CSI and FOMC information is limited to U.S. citizens, lawful permanent residents, individuals who meet the definition of "protected individual" under 8 U.S.C. 1324b(a)(3), and certain other nonimmigrants. Candidates who are not U.S. citizens must sign a declaration of intent to expeditiously become a U.S. citizen when eligible.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryData Analytics Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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