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Quant Trading Jobs in Florida (NOW HIRING)

L/S Equity Desk Quant

Miami, FL ยท On-site

$150K - $200K/yr

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 ...

Quantitative Developer/Research Engineer

Miami, FL ยท On-site

$250K - $350K/yr

  • Medical

  • Life

  • Retirement

Design, develop, test, and deploy elegant software solutions for automated trading systems * Partner with the Quantitative Research team to define priorities and deliver custom software solution ...

Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in ...

Client Relations Associate

Boca Raton, FL ยท On-site

$37K - $47K/yr

Client Relations Associate iSAM is an innovative, financial technology firm specialising in quantitative trading, comprised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA ...

... Trading, and Global Quantitative Trading. We are seeking a highly motivated PM Engagement Analyst to support the senior PM Engagement team in their work with Portfolio Managers and analysts within ...

... and quant skills. All traders benefit from coaching and mentorship from the firm's partners and ... This is a unique opportunity for those with a passion for trading to receive training from and then ...

Showing results 21-40

Quant Trading information

See Florida salary details

$73.2K

$126.8K

$193.9K

How much do quant trading jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quant trading in Florida is $126,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $148,700.00 per year, depending on experience, location, and employer.

What is a quant trading job?

A Quant Trading job involves using mathematical models, statistical techniques, and computer algorithms to analyze financial markets and make automated trading decisions. Quant traders develop and implement strategies to identify profitable opportunities, often leveraging historical data and predictive analytics. They work in hedge funds, proprietary trading firms, and investment banks, typically focusing on high-frequency trading, market-making, or statistical arbitrage. Strong programming skills (Python, C++, or R) and a deep understanding of financial markets are essential for success in this field.

What are the key skills and qualifications needed to thrive in quant trading?

To thrive in Quant Trading, you need a strong quantitative background, mathematical modeling expertise, and advanced programming skills, typically supported by degrees in mathematics, statistics, physics, or computer science. Proficiency in programming languages such as Python, C++, or R, and experience with financial modeling platforms and data analysis tools are essential. Excellent problem-solving skills, attention to detail, and the ability to work under pressure make candidates stand out in this fast-paced environment. These competencies are crucial for developing, testing, and implementing trading strategies that drive profitability and manage risk in dynamic financial markets.

What are some typical challenges faced in quant trading?

Quant trading professionals often deal with challenges such as rapidly changing market conditions, the need to process and analyze vast amounts of data quickly, and fierce competition from other trading firms. The role requires staying ahead by constantly researching and updating trading algorithms to maintain profitability. Effective communication with portfolio managers, developers, and risk managers is also key in adapting strategies and sharing insights. While the pace can be intense, successfully meeting these challenges is both rewarding and central to career progression in the field.

How much do quant trading professionals make?

Quant trading professionals typically earn a base salary ranging from $100,000 to over $200,000 annually, with total compensation often including performance bonuses that can significantly increase earnings. Experienced quants with advanced skills in programming, mathematics, and finance can earn well above this range, especially at hedge funds and proprietary trading firms.

What are quant trading jobs?

Quant trading jobs involve developing and implementing mathematical models and algorithms to identify trading opportunities in financial markets. Professionals in these roles typically have strong skills in programming, statistics, and finance, and often use tools like Python, R, or MATLAB. These positions are common in hedge funds, investment banks, and proprietary trading firms, often requiring advanced degrees in quantitative fields.

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

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

What job categories do people searching Quant Trading jobs in Florida look for?

The top searched job categories for Quant Trading jobs in Florida are:

What cities in Florida are hiring for Quant Trading jobs?

Cities in Florida with the most Quant Trading job openings:

Infographic showing various Quant Trading job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $126,837 per year, or $61 per hour.

L/S Equity Desk Quant

Verition Group LLC

Miami, FL โ€ข On-site

$150K - $200K/yr

Full-time

Re-posted 8 days ago


Job description

Firm Overview
Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Credit, Fixed Income & Macro, Convertible & Volatility Arbitrage, Event-Driven, Equity Long/Short & Capital Markets, and Quantitative Strategies.
Role Overview
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.
  • Excellent written and verbal communication skills.
  • High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
  • Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.

Salary Range
$150,000-$200,000 USD