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Financial Quantitative Analyst Jobs in Florida (NOW HIRING)

You will work on both sides of the business: quantitative analysis of investment performance and ... Master's in a quantitative discipline (mathematics, engineering, quantitative finance, or a hard ...

L/S Equity Desk Quant

Miami, FL · On-site

$150K - $200K/yr

You will work on both sides of the business: quantitative analysis of investment performance and ... Master's in a quantitative discipline (mathematics, engineering, quantitative finance, or a hard ...

The Financial Analyst II supports the operations and senior leadership on all matters financial, providing in-depth, quantitative financial analysis of the business for the purpose of making better ...

The Financial Analyst II supports the operations and senior leadership on all matters financial, providing in-depth, quantitative financial analysis of the business for the purpose of making better ...

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Financial Quantitative Analyst information

See Florida salary details

$28.8K

$65.8K

$88.2K

How much do financial quantitative analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for financial quantitative analyst in Florida is $65,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $82,600.00 per year, depending on experience, location, and employer.

What is a financial quantitative analyst?

Financial Quantitative Analysts, often known as 'quants,' are professionals who use mathematical models, statistical techniques, and computer algorithms to analyze financial markets and securities. They develop strategies for trading, risk management, and investment by interpreting complex financial data. Quants often work for banks, hedge funds, asset management firms, or financial technology companies. Their expertise helps organizations make data-driven decisions to maximize returns and minimize risks.

What are the key skills and qualifications needed to thrive as a financial quantitative analyst?

To thrive as a Financial Quantitative Analyst, you need strong quantitative analysis skills, advanced knowledge of mathematics, statistics, and finance, typically supported by a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency with programming languages like Python, R, or MATLAB, as well as experience with financial modeling tools and data analysis systems, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and conveying complex findings. These skills enable analysts to develop accurate financial models, assess risk, and support strategic decision-making in fast-paced financial environments.

How do financial quantitative analysts typically collaborate with other departments within a financial institution?

Financial Quantitative Analysts often work closely with teams such as risk management, trading, portfolio management, and IT. They provide quantitative models and analytical tools that help inform trading strategies, risk assessments, and investment decisions. Collaboration may involve communicating complex statistical findings in accessible terms, working on cross-functional projects, and ensuring that models meet the practical needs of end-users. Strong teamwork and communication skills are essential, as analysts must regularly translate technical insights into actionable recommendations for colleagues with varying levels of technical expertise.

What is the difference between Financial Quantitative Analyst vs Financial Data Analyst?

AspectFinancial Quantitative AnalystFinancial Data Analyst
Required CredentialsDegree in Finance, Mathematics, or Statistics; often certifications like CFA or CQFDegree in Finance, Economics, or Data Science; certifications less common
Work EnvironmentQuantitative research teams, hedge funds, investment banksBanking, asset management, financial services firms
Job FocusDeveloping complex models to predict market behavior and manage riskAnalyzing financial data to generate reports and support decision-making

The main difference between a Financial Quantitative Analyst and a Financial Data Analyst lies in their focus and complexity of work. Quantitative Analysts develop advanced models for trading and risk management, requiring strong mathematical skills. Data Analysts focus on interpreting financial data to inform business decisions, often using standard analytical tools. Both roles are vital in finance but serve different functions within organizations.

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

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

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

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

Infographic showing various Financial Quantitative Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $65,844 per year, or $31.7 per hour.

Risk & Analytics Quantitative Analyst

BBVA Global Wealth Advisors

Miami, FL • On-site

Other

Posted yesterday

New


Job description

The Risk & Analytics Quantitative Analyst is responsible for supporting the design, development, and maintenance of the models and quantitative framework used for asset allocation, portfolio construction, and portfolio analysis at GWA. The position reports to the Head of Risk & Analytics and works closely with the Investments team. The role is also responsible for maintaining the team’s data and analytics infrastructure across its various platforms.

The role requires strong quantitative and programming skills, bilingual communication skills (English/Spanish), and a solid understanding of financial markets, including fixed income, equities, ETFs, and mutual funds. The candidate will be involved in building, validating, and maintaining portfolio models; supporting portfolio analysis and construction; and automating the team’s data, analytics, and reporting processes.

Duties and Responsibilities:

  1. Portfolio Construction and Optimization: Support the development and maintenance of the portfolio construction tools and investment guidelines used by Advisory and DPM, including portfolio constraints, rebalancing rules, and implementation processes.
  2. Strategy Evaluation: Support the evaluation of new strategies, products, and investment vehicles—including ETFs, mutual funds, bonds, and individual equities—for use in model portfolios, and assist Investment Counselors with customized portfolio proposals.
  3. Quantitative Modeling and Portfolio Analytics: Research, develop, and validate quantitative models. Perform back-testing, stress testing, exposure and performance analysis, risk contribution and attribution analysis for current or proposed portfolios, and assess the impact of proposed changes before implementation.
  4. Model Governance and Documentation: Document methodologies, assumptions, data sources, and model versions to ensure reproducibility, regular validation, and a clear audit trail.
  5. Data & Quant Infrastructure: Design, build, and maintain monitoring tools, data pipelines, APIs, and automated processes that support reporting. Define, configure, and maintain portfolio management and advisory platforms, working with technical teams during implementation.
  6. Reporting and Monitoring: Prepare reports for the CIO and the Investment Committee. Produce materials for institutional and UHN clients. Prepare periodic factsheets for model portfolios and DPM, explaining quantitative metrics in clear, practical terms for advisors and clients.
  7. Fiduciary Analytics: Work closely with the Risk team to produce analyses and reports that support the firm’s fiduciary responsibilities.

Qualifications

  1. Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Economics, Computer Science, Engineering.
  2. Minimum 3+ years related experience.
  3. Programming skills, particularly in Python, R, MATLAB, SQL or equivalent.
  4. Proficiency in data analysis tools and financial platforms (e.g., Bloomberg, FactSet, SQL, Morningstar).
  5. Knowledge of financial markets, investment strategies, Equities, Fixed Income, Structure notes, ETFs and Mutual funds.
  6. Bilingual ( English/Spanish)
  7. Strong communication and team work skills.
  8. Ability to work independently and as part of a team in a fast-paced environment.
  9. Professional certifications such as CFA (Chartered Financial Analyst) and Series 65 are desirable.