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Ai Quant Jobs (NOW HIRING)

DRW

Quantitative AI Strategist

New York, NY · On-site

$132.90K - $171.80K/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.

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How much do ai quant jobs pay per year?

As of Jun 1, 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.

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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.
Quantitative AI Strategist

Quantitative AI Strategist

DRW

New York, NY • On-site

$132.90K - $171.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development - focused on building and evolving the firm's AI-powered research and analytics platform.
The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable - by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.
You will have broad exposure across asset classes, desks, and problem types - from signal generation and backtesting to risk analysis and research analytics - while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.
The ideal candidate will be able to:
  • Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
  • Determine the right balance between AI autonomy and structured tooling - deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call - and build accordingly.
  • Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.

Key Responsibilities:
  • Prototype and validate quantitative workflows end-to-end - from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis - while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
  • Write high-quality platform code and quantitative libraries - including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
  • Enhance the platform's ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
  • Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
  • Engage with stakeholders across the firm - trading desks, risk management, researchers, new joiners, and others - to discover emerging use cases and adapt the platform's capabilities accordingly.
  • Proactively identify new use cases and capabilities as AI technology evolves.
  • Act as the first line of quantitative support for platform users - diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.

Qualification and Experience:
  • Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
  • 3-7 years' experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
  • Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
  • Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
  • Experience with signal generation, backtesting, or systematic strategy development.
  • Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
  • Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
  • Experience building AI agents is a strong plus.
  • Excellent communication skills - able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
  • Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
  • Strong ability to quickly learn and adapt to new technologies - particularly important given the rapid pace of development in AI.

The annual base salary range for this position is $175k to $250k depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
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