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Ai Quant Jobs (NOW HIRING)

VP - GenAI Quant Developer

New York, NY · On-site

$200K - $225K/yr

Generative AI / LLM & Agentic Systems (Embedded AI Initiative) * Design, prototype, and deploy LLM-powered applications for the Rates business, e.g.: * Workflow automation for pricing, risk checks ...

Finance AI Architect

Mountain View, CA · Hybrid

$160K - $240K/yr

Role The Finance AI Architect will bring deep financial domain expertise (investment research ... Engage senior stakeholders (portfolio managers, heads of research, quant leads, CIOs) in deep ...

Role Summary The Quantitative Researcher combines advanced AI and quantitative investing techniques to enhance and support our fundamental investment process. Working alongside experienced analysts ...

AI Search Analyst

New York, NY · On-site

$115K - $145K/yr

As AI search and conversational agents replace traditional web search and browsing, Scrunch helps ... This is a quantitative, customer-facing role for someone who is strong in analysis, measurement ...

Generative AI / LLM & Agentic Systems (Embedded AI Initiative) * Design, prototype, and deploy LLM-powered applications for the Rates business, e.g.: * Workflow automation for pricing, risk checks ...

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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:
What states have the most Ai Quant jobs? States with the most job openings for Ai Quant jobs include:
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 Research Scientist & Quantitative Trainer

Remote AI Research Scientist & Quantitative Trainer

DataAnnotation

Oregon, WI • Remote

Full-time

Posted 21 days ago


Job description

A cutting-edge AI company is seeking experienced quantitative professionals to evaluate AI-generated quantitative work and solve complex problems. The role offers full remote flexibility with competitive pay. Candidates should have at least 2 years of experience in quantitative fields such as data science or statistics.

A bachelor's degree is preferred, and coding skills are necessary. Ideal for those interested in shaping the future of AI systems focused on data reasoning. #J-18808-Ljbffr