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Phd Quant Jobs (NOW HIRING)

Nomura International

Quant Researcher

Manhattan, NY · On-site

$175K - $250K/yr

Advanced degree (PhD or Master's) in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related quantitative field * 3-8 years of experience in quantitative research, risk ...

Nomura International

Quant Researcher

Manhattan, NY

$175K - $250K/yr

Advanced degree (PhD or Master's) in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related quantitative field * 3-8 years of experience in quantitative research, risk ...

IMC

PhD Sourcing Specialist

Chicago, IL · On-site

$100K - $150K/yr

As a PhD Sourcing Specialist, you will be focused on mapping the research talent landscape ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

TIFIN

Lead, Quant AI Investments

Boulder, CO

$150K - $225K/yr

MS/PhD in a quantitative discipline (Financial Mathematics, Statistics, CS, Engineering, or similar) * 5-10+ years in quantitative investment research, portfolio optimization, or investment product ...

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TIFIN

Quant AI Investment Product Owner

Boulder, CO · On-site

Required : • MS/PhD in a quantitative discipline (Financial Mathematics, Statistics, CS, Engineering, or similar) • 5-10+ years in quantitative investment research, portfolio optimization, or ...

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Phd Quant information

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$98K

$169.7K

$259.5K

How much do phd quant jobs pay per year?

As of Jun 25, 2026, the average yearly pay for phd 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 a PhD Quant?

A PhD Quant, short for Quantitative Analyst with a PhD, is a professional who uses advanced mathematical, statistical, and computational techniques to analyze financial markets and develop complex models for trading, risk management, or investment strategies. They typically work in banks, hedge funds, or financial technology firms. PhD Quants leverage their deep expertise in fields like mathematics, physics, computer science, or engineering to solve challenging problems and gain insights that drive financial decision-making. Their work often involves programming, data analysis, and the implementation of quantitative models.

What are the typical collaboration dynamics for a PhD Quant within a financial institution?

PhD Quants frequently work in close collaboration with traders, risk managers, and software engineers to develop and implement quantitative models for pricing, risk assessment, and trading strategies. While a significant portion of the work involves independent research and model development, regular meetings and cross-functional teamwork are essential to ensure models align with business objectives and regulatory requirements. Effective communication skills are important, as PhD Quants often need to explain complex mathematical concepts to colleagues with varying technical backgrounds.

What are the key skills and qualifications needed to thrive as a PhD Quant, and why are they important?

To thrive as a PhD Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a PhD in a quantitative field such as mathematics, physics, finance, or engineering. Expertise in technical tools such as Python, C++, R, and experience with statistical modeling systems and quantitative finance libraries is expected. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing complex models, interpreting data accurately, and collaborating across multidisciplinary teams in high-stakes financial environments.

What is the difference between Phd Quant vs Quant Analyst?

AspectPhd QuantQuant Analyst
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's degree, often with quantitative skills
Work EnvironmentResearch-focused, often in finance or hedge fundsTrading floors, financial institutions, or asset management firms
Industry UsagePrimarily in hedge funds, investment banks, and proprietary tradingIn asset management, hedge funds, and banks

The main difference between a Phd Quant and a Quant Analyst lies in their educational background and focus. Phd Quants typically hold doctoral degrees and focus on developing complex models and research, while Quant Analysts often have master's or bachelor's degrees and focus on applying models to trading strategies. Both roles are integral to quantitative finance but differ in scope and depth of research.

More about Phd Quant jobs
What cities are hiring for Phd Quant jobs? Cities with the most Phd Quant job openings:
What states have the most Phd Quant jobs? States with the most job openings for Phd Quant jobs include:
What job categories do people searching Phd Quant jobs look for? The top searched job categories for Phd Quant jobs are:
Phd Quant jobs near you
Infographic showing various Phd Quant job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quant Researcher, ML Forecasting (MFT)

Fionics

Manhattan, NY

Full-time

Posted 13 days ago

Job description

Company: Top-tier hedge fund with an MFT-focused team, offering a collaborative, research-driven environment. Emphasizes machine learning for cutting-edge strategy development.
Overview: ML Quant Research opportunity with a collaborative PhD heavy team. Will be using ML like LLMs and Nonstationarity modeling to develop forecasting and alpha strategies for equities trading team. This is a collaborative model with 5 years+ average tenure on most of the team (not a pod shop).
Key Responsibilities:
  • Design and implement machine learning alpha research models and forecasting models for a mix of intraday and longer hold MFT equities strategies.
  • Utilize LLMs, generative models, and nonstationarity modeling to develop effective and profitable trading signals and strategies
Qualifications:
  • 3-7 years of experience in a Quant Research
  • Experience at a top buy side firm, or equivalent experience
  • Practical use of ML models in production.
  • PhD level Math/Statistics skills
  • Collaborative and patient nature
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