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Quant Analyst Jobs in Florida (NOW HIRING)

Verition Group LLC

Equity L/S Desk Quant Analyst

Miami, FL · On-site

$150K - $200K/yr

We are seeking a Quant Analyst for our Fundamental Long/Short Equity business, reporting directly to the Equity L/S COO. This is a high-impact, high-growth role at the center of how the Equity L/S ...

Da Vinci

Experienced Quant

Miami, FL · On-site

Analyze large datasets to identify trading opportunities * Develop tools that translate data analysis results into useful inputs for trading * Build and back test quantitative models and strategies

Da Vinci

Experienced Quant

Miami, FL

Analyze large datasets to identify trading opportunities * Develop tools that translate data analysis results into useful inputs for trading * Build and back test quantitative models and strategies

USAA

Senior Decision Science Analyst - P&C Analytics

Tampa, FL · On-site

$83K - $110K/yr

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

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Quant Analyst information

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How much do quant analyst jobs pay per year?

As of Jul 26, 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 are Quant Analysts?

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 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:
What job categories do people searching Quant Analyst jobs in Florida look for? The top searched job categories for Quant Analyst jobs in Florida are:
Quant Analyst jobs near you
Infographic showing various Quant Analyst job openings in Florida as of July 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.
Equity L/S Desk Quant Analyst

Equity L/S Desk Quant Analyst

Verition Group LLC

Miami, FL

Other

Posted 14 days ago

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking a Quant Analyst for our Fundamental Long/Short Equity business, reporting directly to the Equity L/S COO. This is a high-impact, high-growth role at the center of how the Equity L/S platform makes decisions. You will work on both sides of the business: quantitative analysis of investment performance and portfolio construction, and quantitative analysis applied to the strategic and operational questions that shape how the platform grows and improves.

A core strength of the role is turning open-ended questions into clear answers. You will translate priorities from senior management and the investment teams into focused research that isolates the key drivers and points to actionable recommendations. The work spans the business, portfolio manager, and research levels, with findings presented directly to senior stakeholders.

The individual in this role will work closely with teams across the platform. It is well suited to someone with a strong quantitative foundation who also likes to build: hands-on, technically strong, quick to learn, and energized by working close to a fast-moving investment business.

Responsibilities

  • Build analyses, models, and tools that inform investment and business decisions across the platform.
  • Analyze investment performance and portfolio properties, including process drivers of P&L and factor-model-based risk and P&L attribution.
  • Execute on research ideas that improve investment and business outcomes.
  • Evaluate processes and proposed changes, implement improvements, and quantify their impact.
  • Support and enhance investment-process workflows, tools, and systems.
  • Apply statistical methods to investment and business problems to quantify effects, test significance, and translate results into recommendations for stakeholders.
  • Apply AI tools to accelerate research and analysis, and contribute to advancing AI-driven applications across the platform.
  • Present analysis and recommendations clearly to senior stakeholders.
  • Partner with portfolio managers, operations, trading, technology, data, and research teams.

Qualifications

  • 3-5 years of experience at a buy-side or sell-side firm.
  • Master's in a quantitative discipline (mathematics, engineering, quantitative finance, or a hard science), or an undergraduate degree paired with strongly aligned experience.
  • Strong foundation in statistics and regression modeling, including linear models and hypothesis testing.
  • Proficiency in Python for quantitative research and analysis, evidenced by project or research accomplishments, with the ability to build the data workflows and analytical tools the work requires.
  • Working proficiency in SQL, PostgreSQL, and APIs for accessing and managing data.
  • Experience with equity fundamental factor models, attribution, and risk measurement is strongly preferred.
  • Strong communication and presentation skills, including the ability to make quantitative work actionable for senior audiences.
  • Demonstrated interest in applying AI to research and analytical problems; hands-on experience with coding assistants such as Claude Code or comparable tools is a meaningful advantage.
  • A strong sense of ownership and urgency, with the grit to dig into problems and see solutions through.
  • A can-do approach, intellectual curiosity, adaptability, and a genuine passion for equity markets and investing.

Apply