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Ai Quant Jobs in Florida (NOW HIRING)

Apply AI tools to accelerate research and analysis, and contribute to advancing AI-driven ... 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

Apply AI tools to accelerate research and analysis, and contribute to advancing AI-driven ... Master's in a quantitative discipline (mathematics, engineering, quantitative finance, or a hard ...

AI Scientist

West Palm Beach, FL · On-site

$100 - $140/hr

Location West Palm Beach, FL The Role We are seeking an exceptionally talented AI Scientist to join ... PhD degree in a quantitative or highly analytical field (e.g., Computer Science, Physics ...

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

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Ai Quant information

What is an AI quant?

An AI Quant, or Artificial Intelligence Quantitative Analyst, is a professional who combines expertise in quantitative finance and machine learning to develop advanced trading strategies, risk models, or analytics tools. AI Quants use algorithms, statistical models, and large datasets to identify patterns, forecast market trends, and make data-driven investment decisions. They often work in hedge funds, investment banks, or proprietary trading firms, collaborating with software engineers and other quants to implement and optimize AI-driven financial models.

How does an AI quant typically collaborate with data scientists, traders, and software engineers within a financial institution?

AI Quants often work closely with data scientists to develop and refine machine learning models using financial data, ensuring models are statistically robust and actionable. They collaborate with traders to translate complex quantitative signals into trading strategies that are practical and aligned with market objectives. Additionally, AI Quants partner with software engineers to implement and optimize these models for real-time deployment, ensuring that the underlying code is scalable, efficient, and reliable. This cross-functional environment requires strong communication skills and adaptability, as priorities can shift with market movements and technological advancements.

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

To thrive as an AI Quant, you need a strong background in quantitative analysis, mathematics, statistics, and machine learning, often supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or C++, experience with data analysis libraries (such as NumPy, pandas, and TensorFlow), and familiarity with financial modeling tools are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for developing robust AI-driven trading strategies and ensuring accurate, data-driven decision-making in the fast-paced financial sector.

What is the difference between Ai Quant vs Data Scientist?

AspectAi QuantData Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or AIDegrees in computer science, statistics, or related fields; certifications vary
Work EnvironmentFinancial firms, hedge funds, or trading firms focusing on quantitative analysisTech companies, research labs, or any industry leveraging data analysis
Employer & Industry UsagePrimarily finance and trading industriesBroad across tech, healthcare, retail, and more
Common Search & Comparison IntentUnderstanding specialized quantitative roles in financeExploring data analysis careers across industries

Ai Quants focus on developing algorithms and models for financial markets, often requiring advanced quantitative skills and finance-specific knowledge. Data Scientists have a broader scope, applying statistical and machine learning techniques across various industries. While both roles involve data analysis and programming, Ai Quants are specialized in finance, whereas Data Scientists work in diverse sectors.

What cities in Florida are hiring for Ai Quant jobs?

Cities in Florida with the most Ai Quant job openings:

Infographic showing various Ai Quant job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

L/S Equity Desk Quant

Miami, FL

Verition Group LLC
51 - 200 employees

$150K - $200K/yr

Full-time

Re-posted 18 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.

The annual base salary range for this position is $150,000 to $200,000 (USD). In addition to base salary, this position is eligible for a discretionary performance bonus and a comprehensive benefits package. Actual compensation offered to the successful candidate will be determined based on a variety of factors such as geographic location, work experience, qualifications, and skill level.