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Quant Analytics Jobs in Tempe, AZ (NOW HIRING)

Advisor Group

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Proactively seek feedback, ask questions, and develop domain knowledge in finance and analytics ... quantitative field * Foundational knowledge of data analysis concepts, statistics, and problem ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Proactively seek feedback, ask questions, and develop domain knowledge in finance and analytics ... quantitative field * Foundational knowledge of data analysis concepts, statistics, and problem ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Basic Requirements: 1-3 years of experience in analytics, business intelligence, data science, or a related quantitative field Foundational knowledge of data analysis concepts, statistics, and ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Basic Requirements: * 1-3 years of experience in analytics, business intelligence, data science, or a related quantitative field * Foundational knowledge of data analysis concepts, statistics, and ...

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All JobsQuant Analytics JobsQuant Analytics Jobs in Tempe, AZ

Quant Analytics information

See Tempe, AZ salary details

$50.3K

$114.1K

$188.2K

How much do quant analytics jobs pay per year?

As of Aug 28, 2026, the average yearly pay for quant analytics in Tempe, AZ is $114,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a quant analytics professional?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

What are the key skills and qualifications needed to thrive as a quant analytics professional?

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

How do quant analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

Quant Analytics jobs near you

Quantitative Analyst I

Scottsdale, AZ • On-site

Advisor Group
Finance and Insurance • 1 - 5K employees
Learn more about Advisor Groupexternal

$57K - $63K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Job description

Current Employees and Contractors Apply Here
Osaic Careers
Corporate Finance Opportunity in Financial Services
Quantitative Analyst I
Location(s):
Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255
Osaic is not considering remote candidates at this time.
Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office. Applicants should be located at one of our hubs listed above and must be willing to work this schedule.
Role Type: Full-time
Salary: $57,750 - $63,000 per year + annual performance based bonus
Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, licensure, experience, and education.
Our competitive compensation is just one component of Osaic's total compensation package. Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days and much more. To view more details of what you can look forward to, visit our careers page: https://careers.osaic.com/Creative/Benefits.
Summary:
We are looking for a curious, detail-oriented analyst to join the Quantitative Analytics team! This role supports enterprise reporting, data analysis, and insight generation that helps the firm measure and manage performance. As a junior analyst, you will work closely with senior team members to learn analytical frameworks, build foundational technical skills, and contribute to meaningful projects. This is an individual contributor role focused on growth, execution, and learning.
Education Requirements:
  • Bachelor's degree in economics, statistics, data science, computer science, or a related field preferred
  • Equivalent combination of education and relevant experience will be considered

Responsibilities:
  • Apply AI-assisted workflows to improve efficiency, automate repetitive tasks, and accelerate insight generation under the guidance of senior team members.
  • Conduct data gathering, cleaning, validation, and exploratory analysis to support team projects
  • Learn and apply team standards for data quality, documentation, and analytical rigor
  • Collaborate with team members to understand business context and translate data into clear summaries
  • Contribute to ad hoc analyses and data requests from Finance and business partners
  • Proactively seek feedback, ask questions, and develop domain knowledge in finance and analytics
  • Support quality assurance and testing of analytical outputs before delivery to stakeholders
  • Leverage approved generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude, and similar platforms) to enhance productivity in data analysis, documentation, research, coding, and reporting activities while adhering to company data security and governance standards.

Basic Requirements:
  • 1-3 years of experience in analytics, business intelligence, data science, or a related quantitative field
  • Foundational knowledge of data analysis concepts, statistics, and problem-solving approaches
  • Familiarity with data tools such as SQL, Excel, Python, R, Power BI, or similar platforms
  • Strong attention to detail and commitment to accuracy in data handling and reporting
  • Effective written and verbal communication skills
  • Eagerness to learn, take direction, and grow within a collaborative team environment
  • Ability to manage time effectively and deliver work on schedule with appropriate guidance

Preferred Requirements:
  • Exposure to financial services, wealth management, or regulated industry environments
  • Familiarity with data warehousing concepts, cloud platforms (e.g., Snowflake), or BI tools
  • Coursework or project experience in statistical modeling, machine learning, or data visualization
  • Interest in automation, process improvement, and scalable analytical solutions

Current Employees and Contractors Apply Here
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About Advisor Group

Sourced by ZipRecruiter

Be a part of the team behind our success! At Advisor Group, we support financial professionals nationwide, the people who help everyday Americans achieve their dreams. We're a billion-dollar business with the mentality and drive of a startup. Join us in building something special.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Phoenix, AZ, US

Year founded

1988

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