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Ai Quant Jobs (NOW HIRING)

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

$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 ...

DRW

Quantitative AI Strategist

New York, NY · On-site

$132K - $171K/yr

... quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes ... Familiarity with AI technologies and their application to quantitative workflows is a strong plus.

Bank of America

Associate - Quant

New York, NY · On-site

$175K/yr

Integrate data-driven insights, as well as Generative AI, to help identify business opportunities ... Conduct quantitative analysis of the current markets, industry trends and trading strategies.

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How much do ai quant jobs pay per year?

As of Jun 21, 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 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.

Is 40 too old to become an quant?

Age is not a strict barrier to becoming an AI Quant, as the role values skills in programming, mathematics, and finance, which can be developed at any age. Many professionals transition into quantitative roles later in their careers by gaining relevant certifications, such as CFA or advanced degrees, and building experience with tools like Python, R, or MATLAB.

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.

Do quants make 7 figures?

Quantitative analysts, or quants, working in finance or hedge funds can sometimes earn seven-figure salaries, especially at senior levels or in high-paying firms. However, such compensation is typically reserved for experienced professionals with specialized skills in mathematics, programming, and finance, and is not the norm for all quants.

Which 3 jobs will survive AI?

AI Quant roles in finance are likely to persist because they require specialized quantitative skills, understanding of financial markets, and the ability to interpret complex data. Jobs that involve creative thinking, emotional intelligence, and complex problem-solving, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient to automation. These roles often require human judgment and adaptability that AI cannot fully replicate.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and domain expertise. These roles usually involve leadership, strategic planning, and significant experience, and they may be found in large tech companies or finance firms offering competitive compensation packages.
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:
What job categories do people searching Ai Quant jobs look for? The top searched job categories for Ai Quant jobs are:
Ai Quant jobs near you
Infographic showing various Ai Quant job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Applied AI Engineer, Global Banking & Markets, New York City

Applied AI Engineer, Global Banking & Markets, New York City

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Posted 7 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Description
What We Do
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Who We Look For
Goldman Sachs is seeking an AI Quant Engineer to join our Equities Business . As an AI Quant engineer, you will leverage your expertise in quantitative analytics, statistics, and artificial intelligence to develop and implement AI-driven quantitative technologies with the goal to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm.
In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance. As an AI Quant engineer, you will tackle the unique challenges associated with embedding intelligence in the quant analytics domain. Join us in pushing the boundaries of what is possible at the intersection of quantitative finance and artificial intelligence!
How You Will Fulfill Your Potential
  • Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes.
  • Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
  • Collaborate proactively with stakeholders across the equities business to accelerate the delivery of AI driven solutions to drive tangible commercial outcomes.
  • Champion the development, testing, and maintenance of reliable, production-ready software solutions.

Qualifications
  • A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
  • A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
  • Proficiency in contemporary programming languages like Python and/or Java.
  • Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
  • Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$225000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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