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Ai Quant Jobs (NOW HIRING)

Initio Capital

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

For more information on the Career Launch AI Talent Network , visit: Position Overview Quantitative Analysts (Quant) at Initio Capital will play a critical role in applying advanced mathematical and ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Integrate AI models into real-time and batch pipelines. * Optimize analytics and model evaluation for performance, stability, and scalability. * Collaborate with quants, product owners, and ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Integrate AI models into real-time and batch pipelines. * Optimize analytics and model evaluation for performance, stability, and scalability. * Collaborate with quants, product owners, and ...

Purple Drive Technologies

QUANT ANALYTICS

Cleveland, OH · On-site

TCS Must Have Technical/Functional Skills Hands-on experience in statistical and AI/ML model development or validation, with a strong understanding of quantitative modeling methods (including AI/ML ...

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Ai Quant information

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$98K

$169.7K

$259.5K

How much do ai quant jobs pay per year?

As of May 31, 2026, the average yearly pay for ai quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

More about Ai Quant jobs
What cities are hiring for Ai Quant jobs? Cities with the most Ai Quant job openings:
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Ai Quant jobs near you
Infographic showing various Ai Quant job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 76% Full Time, 14% Part Time, and 5% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Remote AI Quant Trainer & Evaluator

Remote AI Quant Trainer & Evaluator

DataAnnotation

Charleston, WV • Remote

$40/hr

Full-time

Posted 19 days ago

Job description

A leading AI development firm is seeking experienced quantitative professionals to join their remote team. In this role, you will evaluate AI-generated quantitative analysis and provide critical feedback that shapes future AI models. Candidates should have over 2 years of experience in quantitative fields and be comfortable coding.

This position offers flexibility in scheduling and competitive hourly pay starting at $40+. Perfect for those passionate about advancing AI technology while working from the comfort of their home. #J-18808-Ljbffr

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