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Quant Analyst Jobs in Florida (NOW HIRING)

This role applies statistical modeling, quantitative analysis, and innovative analytical techniques to uncover insights, solve complex business challenges, and influence strategic direction. By ...

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other ...

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other ...

Showing results 21-40

Quant Analyst information

See Florida salary details

$42.2K

$100K

$179.3K

How much do quant analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for quant analyst in Florida is $100,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $108,700.00 per year, depending on experience, location, and employer.

What are typical challenges a quant analyst faces when collaborating with traders and software developers?

Quant Analysts often work closely with traders to translate complex market concepts into mathematical models and with developers to implement these models into trading platforms. One common challenge is ensuring clear communication across these teams, as traders may focus on market intuition while developers require precise technical details. Bridging the gap between theory and practical application can also be demanding, requiring flexibility and strong problem-solving skills. Successfully overcoming these challenges can lead to more robust trading strategies and smoother workflow integration.

What is the difference between Quant Analyst vs Data Analyst?

AspectQuant AnalystData Analyst
Required CredentialsDegree in finance, mathematics, or related field; often requires programming skillsDegree in statistics, business, or related field; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Employer & Industry UsagePrimarily in finance and trading sectorsAcross various industries for data interpretation and reporting

While both roles analyze data, Quant Analysts focus on financial modeling and trading strategies, often requiring advanced quantitative skills and programming. Data Analysts interpret data to support business decisions across industries. The roles overlap in data handling but differ in industry focus and complexity.

What is a quant analyst?

Quant Analysts, short for quantitative analysts, are professionals who use mathematical models, statistics, and computer science to analyze financial data and help organizations make investment decisions. They work in areas such as risk management, derivative pricing, portfolio management, and algorithmic trading. Quant Analysts often develop complex models to identify trends, value securities, and manage financial risk. Their work is essential in banks, hedge funds, asset management firms, and financial technology companies.

What do you do as a quantitative analyst?

A quantitative analyst, or quant, develops mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify patterns and manage risk in trading strategies. Strong analytical skills and knowledge of finance and mathematics are essential for this role.

Is a quant analyst high paying?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes bonuses and incentives, especially in investment firms and hedge funds, reflecting the high demand for their expertise.

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

To thrive as a Quant Analyst, you need strong quantitative, statistical, and programming skills, often backed by a degree in mathematics, finance, computer science, or a related field. Familiarity with tools such as Python, R, MATLAB, SQL, and knowledge of financial modeling platforms or risk management systems is essential. Analytical thinking, problem-solving ability, and effective communication are key soft skills that distinguish top performers. These competencies enable accurate data analysis, development of robust financial models, and clear presentation of complex findings to stakeholders.

What are the most commonly searched types of Quant Analyst jobs in Florida?

The most popular types of Quant Analyst jobs in Florida are:

What are popular job titles related to Quant Analyst jobs in Florida?

For Quant Analyst jobs in Florida, the most frequently searched job titles are:

Infographic showing various Quant Analyst job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,045 per year, or $48.1 per hour.

Decision Science Analyst (Mid-level)

USAA

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

This is an exciting opportunity to join and help build a newly established Member Value Decision Science team, playing a pivotal role in shaping how data and analytics drive value for our members.

As a Decision Science Analyst (Mid-level), you will provide decision support for business areas across the association. This role applies statistical modeling, quantitative analysis, and innovative analytical techniques to uncover insights, solve complex business challenges, and influence strategic direction. By integrating and interpreting diverse datasets, business metrics, and predictive models, the analyst transforms information into actionable recommendations that enable informed decision-making and measurable business impact.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

What you'll do:

  • Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
  • Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
  • 3 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 2 years of experience in a decision support analytic function.
  • Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

What sets you apart:

  • Experience analyzing and interpreting member complaint data to identify trends, uncover root causes, and recommend solutions that improve member satisfaction and business performance.
  • Knowledge of member satisfaction, customer insights, or customer experience, with the ability to leverage data to better understand member behaviors, needs, and opportunities for engagement.
  • Proficiency with Snowflake for data querying, analysis, and management in a cloud-based data environment.

Compensation range: The salary range for this position is: $93,770 - $179,240.

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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