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Quantitative Analyst Jobs in Arizona (NOW HIRING)

Swoon Technology Resources LLC

Scientist 2

Scottsdale, AZ · On-site

$75K - $81K/yr

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 ...

Tradition Capital Bank

Credit Analyst

Scottsdale, AZ · On-site

$100K - $150K/yr

Quantitative analysis skills * Strong knowledge of financial statements * Excellent verbal and written communication skills * Knowledge of commercial and consumer lending, including C&I, CRE ...

Tradition Capital Bank

Credit Analyst

Scottsdale, AZ

$100K - $150K/yr

Quantitative analysis skills * Strong knowledge of financial statements * Excellent verbal and written communication skills * Knowledge of commercial and consumer lending, including C&I, CRE ...

Opendoor

Pricing Analyst

Phoenix, AZ · On-site

A strong analytical or quantitative background, with experience in a valuation, real estate, or data-driven role. * Detail-oriented with strong analytical skills to assess property valuations ...

American Express

Project Analyst II

Phoenix, AZ · On-site

$65K - $102K/yr

Demonstrated problem-solving and quantitative analysis skills, with strong analytical capabilities and exceptional attention to detail. * Strong written and verbal communication skills, with the ...

American Express

Project Analyst II

Phoenix, AZ · On-site

Demonstrated problem-solving and quantitative analysis skills, with strong analytical capabilities and exceptional attention to detail. * Strong written and verbal communication skills, with the ...

USAA

Member Insights Lead

Phoenix, AZ · On-site +1

$162K/yr

Facilitates the development, design, analysis, and execution of the project. * Applies an expert level of knowledge in conducting research using the appropriate methodology (quantitative, qualitative ...

New

rogersco

Senior Financial Analyst

Chandler, AZ · On-site

$84K - $104K/yr

Strong analytical and quantitative skills, with the ability to interpret complex financial data, develop financial models, and conduct in-depth financial analysis * Solid understanding of financial ...

USAA

Member Insights Lead

Phoenix, AZ · On-site +1

$165K/yr

Facilitates the development, design, analysis, and execution of the project. * Applies an expert level of knowledge in conducting research using the appropriate methodology (quantitative, qualitative ...

New

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All JobsQuantitative Analyst JobsQuantitative Analyst Jobs in Arizona

Quantitative Analyst information

See Arizona salary details

$52.7K

$124.8K

$223.7K

How much do quantitative analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative analyst in Arizona is $124,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

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

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.
More about Quantitative Analyst jobs

What are the most commonly searched types of Quantitative Analyst jobs in Arizona?

The most popular types of Quantitative Analyst jobs in Arizona are:

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For Quantitative Analyst jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Quantitative Analyst jobs in Arizona look for?

The top searched job categories for Quantitative Analyst jobs in Arizona are:

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Cities in Arizona with the most Quantitative Analyst job openings:

What are popular job titles related to Quantitative Analyst jobs in AZ?

For Quantitative Analyst jobs in AZ, the most frequently searched job titles are:

Quantitative Analyst jobs near you
Infographic showing various Quantitative Analyst job openings in Arizona as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $124,759 per year, or $60 per hour.

Scientist 2

Swoon Technology Resources LLC

Scottsdale, AZ • On-site

$75K - $81K/yr

Full-time

Re-posted 3 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