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Quantitative Developer Jobs in Arizona (NOW HIRING)

Founding GTM Engineer

Phoenix, AZ ยท On-site

$120K - $170K/yr

A former Goldman Sachs Quant and an engineer who built global-scale computer vision systems at age 19. * Engineering & Risk: Former leads and AI researchers from Stripe, Mercury, SpaceX (Ad Astra ...

Founding GTM Engineer

Phoenix, AZ ยท On-site

$120K - $170K/yr

A former Goldman Sachs Quant and an engineer who built global-scale computer vision systems at age 19. * Engineering & Risk: Former leads and AI researchers from Stripe, Mercury, SpaceX (Ad Astra ...

Founding GTM Engineer

Phoenix, AZ ยท On-site

$120K - $170K/yr

A former Goldman Sachs Quant and an engineer who built global-scale computer vision systems at age 19. * Engineering & Risk: Former leads and AI researchers from Stripe, Mercury, SpaceX (Ad Astra ...

OR advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with ...

OR advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with ...

You bring deep quantitative expertise, strong engineering discipline, and the ability to operate in complex cloud and on-premise federal environments. You don't just build models -- you architect end ...

Sr. BI Engineer

Scottsdale, AZ ยท On-site +1

$111K - $222K/yr

Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; and Quantitative analysis techniques, including ...

Sr. BI Engineer

Scottsdale, AZ ยท On-site +1

$111K - $222K/yr

Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; and Quantitative analysis techniques, including ...

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Quantitative Developer information

See Arizona salary details

$91.3K

$158.2K

$241.8K

How much do quantitative developer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for quantitative developer in Arizona is $158,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $185,400.00 per year, depending on experience, location, and employer.

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

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.

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 Quantitative Developers?

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 Is a Quantitative Developer?

A quantitative developer is a computer programmer and software engineer who writes code and develops trading infrastructure for investment banks. As a quantitative developer, your job duties include creating and testing financial models and forecasts, validating and documenting the performance of financial models, analyzing performance results, and reporting on the data to traders, financial engineers, and IT support. You need a strong background in scientific computing, an understanding of financial markets, and good communication skills to be an effective quantitative developer.

What are the most commonly searched types of Quantitative Developer jobs in Arizona? The most popular types of Quantitative Developer jobs in Arizona are:
What are popular job titles related to Quantitative Developer jobs in Arizona? For Quantitative Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Quantitative Developer jobs in Arizona look for? The top searched job categories for Quantitative Developer jobs in Arizona are:
What cities in Arizona are hiring for Quantitative Developer jobs? Cities in Arizona with the most Quantitative Developer job openings:
What are popular job titles related to Quantitative Developer jobs in AZ? For Quantitative Developer jobs in AZ, the most frequently searched job titles are:

Quantitative Operations Associate - Volume & Capacity Modeler-Global Operations

Bank of America

Chandler, AZ โ€ข On-site

Full-time

PTO

Posted 9 days ago


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manager

Job Summary

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities include:

  • Develop and maintain volume forecasting, capacity planning, and resource optimization models
  • Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
  • Assist in driving volume and capacity modeling consistency and innovation across the team
  • Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes
  • Conduct routine model production and performance presentations with executive leadership
  • Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
  • Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines

Required Skills:

  • Bachelor's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • 2+ years of experience in quantitative roles modeling complex systems
  • Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience
  • Proficient in MS Office, particularly Excel
  • Experience with SAS, Python, R, or similar statistical software
  • Experience with Arena or similar discrete event simulation software
  • Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
  • Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
  • Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
  • Natural curiosity and drive to answer important business questions
  • High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment

Desired Skills:

  • Master's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • Prior operational volume forecasting, capacity planning, or financial planning experience
  • Experience with Tableau or other data visualization software
  • Data mining experience using SQL/SAS querying
  • Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body

Skills:

  • Analytical Thinking
  • Business Intelligence
  • Data Modeling
  • Data Visualization
  • Data and Trend Analysis
  • Attention to Detail
  • Collaboration
  • Data Management
  • Data Mining
  • Presentation Skills
  • Consulting
  • Problem Solving
  • Risk Management
  • Stakeholder Management
  • Technical Documentation

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)Pay and benefits informationPay range$84,600.00 - $132,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.