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Quantitative Developer Jobs in Arizona (NOW HIRING)

Swoon Technology Resources LLC

Scientist 2

Scottsdale, AZ · On-site

$75K - $81K/yr

This is a highly execution-focused quantitative research role supporting established Dreamscape ... STEM-related fields are ideal (science, technology, engineering, math) * Candidates must have taken ...

pcg

Project Engineer

Tempe, AZ · On-site

Performance Contracting is seeking an experienced Project Engineer for its Masthead International ... Quantitative takeoffs to verify estimates, order materials, and price change orders * Create and ...

pcg

Project Engineer

Tempe, AZ

Performance Contracting is seeking an experienced Project Engineer for its Masthead International ... Quantitative takeoffs to verify estimates, order materials, and price change orders * Create and ...

Kelaca

Structural Engineer I

Scottsdale, AZ · On-site

Structural Engineer I Role Overview & Purpose Kelaca is seeking a Structural Engineer I for a ... Applying quantitative methods and structured problem-solving to check and validate work.

AECOM

Electrical Engineer III

Phoenix, AZ · On-site

Strong written and oral communication, quantitative, and people skills * Strong work ethic and ... and engineering to program and construction management. AECOM is a Fortune 500 firm that had ...

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All JobsQuantitative Developer JobsQuantitative Developer Jobs in Arizona

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 23, 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.

More about Quantitative Developer jobs
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 Developer jobs near you

Scientist 2

Swoon Technology Resources LLC

Scottsdale, AZ • On-site

$75K - $81K/yr

Full-time

Posted 4 days ago

Job description

Location: Scottsdale,Arizona
Expected Start Date: Apr 7, 2025
Salary: $75,000 - $81,500
Bring the role to life for me:
This is a highly execution-focused quantitative research role supporting established Dreamscape Learn (DSL) studies.
  • The researcher is stepping into well-structured, well-documented projects - this is not exploratory research
  • There is extensive existing documentation, surveys, datasets, and reporting templates
  • The primary responsibility is executing analysis and producing reports, not designing new studies
  • Work is fast-paced and deadline-driven (e.g., multiple high-priority reports due at the same time)
  • Success in the first 12 months looks like:
    • Consistently delivering high-quality quantitative reports
    • Synthesizing findings into clear written takeaways
    • Managing multiple concurrent studies without getting overwhelmed
  • Once they've proven strong execution, they may gradually:
    • Pitch additional analyses
    • Contribute more meaningfully to research design
This role requires someone who is:
  • Extremely organized
  • Comfortable with some ambiguity and competing priorities
  • Strong in written communication (summarizing long-term research clearly)

  • From JD:
    • This role is primarily focused on executing applied quantitative research, with some contribution to research design and methodology as needed.
    • The researcher will support scholarly and operational research for Dreamscape Learn (DSL), ASU's virtual-reality-based learning products.
    • Work includes data extraction, cleaning, statistical analysis, visualization, survey research, reporting, and stakeholder collaboration.
    • Research is action-oriented and operational, intended to inform pedagogy, engagement, learning technology decisions, and equity outcomes.

About Dreamscape Learn (DSL)
Dreamscape Learn is a collaboration between ASU and Dreamscape Immersive, founded during COVID. It combines storytelling, virtual reality, and curriculum design to improve outcomes in high-failure-rate courses.
Examples include:
  • Biology and chemistry courses where students explore concepts (e.g., going inside atoms) through VR
  • WP Carey projects where students experience a virtual Starbucks from a supply-chain perspective, observing real-world operational dynamics (e.g., peak hours, process flow)

  • Are there active Dreamscape Learn (DSL) studies this hire would step into right away, or would they be launching new research?
    • JD:
      • ongoing mixed-methods Dreamscape Learn (DSL) studies already exist, and this person will step into active research while also supporting iterative research on newly developed DSL products.

What types of quantitative analyses does the team run most often today?
  • Descriptive statistics (primary)
  • Comparisons across student cohorts (e.g., pass/fail, demographics)
  • Outcome analysis across large student populations (e.g., 1,000+ students)
  • Occasional regression analysis (not heavy or advanced modeling)

Top 3-5 responsibilities
  1. Execute quantitative analyses in R using existing datasets and frameworks
  2. Clean, transform, and manage research data efficiently
  3. Produce clear, structured reports with written key takeaways
  4. Support multiple concurrent DSL studies and reporting timelines
  5. Collaborate internally with researchers and stakeholders (internal-facing only)

Required Qualifications - What are the true must haves - what does this person need to come in already knowing?
Hard Skills
  1. Strong quantitative data analysis skills using R
  2. Data cleaning, transformation, and visualization
  3. Experience with quantitative research methodologies
  4. Survey research experience (Qualtrics preferred)
  5. Ability to manage multiple research projects and files

Nice to Have
  1. SQL experience
  2. Experience with higher education research or institutional data
  3. Familiarity with learning science or VR-based education research

Education / Certifications
PhD required
  • Discipline must have a strong statistical foundation
  • STEM-related fields are ideal (science, technology, engineering, math)
  • Candidates must have taken statistics during their PhD and actively used R

What level of R expertise is required on day one?
  • Must be able to:
    • Independently analyze data in R
    • Write and run analysis code without assistance
    • Deliver clean, repeatable outputs
  • This cannot be someone who:
    • "Knows R conceptually"
    • Relies on ChatGPT or AI to generate code
  • They do not want to train someone on R
Nice to Have
  1. SQL experience (joins, basic querying)
  2. Experience with higher education or institutional research data
  3. Familiarity with learning science or VR-based education research

Soft Skills
  1. Strong written communication (clear synthesis of long-term research findings)
  2. Ability to stay calm and organized under heavy workload
  3. Comfortable working heads-down with limited external presentation exposure

Disqualifiers - Do NOT Want to See
  1. Candidates who cannot demonstrate real, hands-on R experience
  2. "Vibe coders" or candidates dependent on AI to write analysis code
  3. Qualitative-only researchers or tools (e.g., MaxQDA, Dedoose, ATLAS.ti)

Where Are Candidates Missing the Mark?
  • Claiming R experience but unable to demonstrate it

Screening Questions to Use Up Front
  • Walk me through how you've used R in your dissertation or recent research
  • What types of statistical analyses do you run most often in R?
  • How do you manage multiple research deadlines at once?
  • Can you share an example of a report you've produced summarizing long-term findings?
Interview Process
  • Round 1 (Panel):
    • Selena (lead)
    • Kevin (Senior Researcher)
    • Bailey (slightly more senior colleague)
  • Round 2 Annie
  • Technical Assessment:
    • R-based assignment
  • Sponsorship is possible for the right candidate, but must be discussed upfront

Apply