ZipRecruiter

Log In

1

Phd Quant Trading Jobs (NOW HIRING)

Jump Trading

... trading models. About the Role The PhD quant research internship is an intensive 10-week program designed to show you what it's like to do research at Jump: real problems, real data, real markets.

Jump Trading

... trading models. About the Role The PhD quant research internship is an intensive 10-week program designed to show you what it's like to do research at Jump: real problems, real data, real markets.

Susquehanna

$8.6K/wk

Breadth. Explore all aspects of quant work and different areas of Susquehanna's business ... PhD quantitative systematic trading interns will receive a $8600 weekly base salary during the ten ...

next page

Showing results 1-20

All JobsTechnology JobsSoftware JobsC Programmer JobsPhd Quant Trading Jobs

Phd Quant Trading information

See salary details

$98K

$169.7K

$259.5K

How much do phd quant trading jobs pay per year?

As of Sep 10, 2026, the average yearly pay for phd quant trading 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 trader?

A PhD Quant Trader is a quantitative analyst with a doctoral degree, typically in fields like mathematics, physics, engineering, or computer science, who develops and implements complex trading strategies using mathematical models and statistical analysis. These professionals work for investment banks, hedge funds, or proprietary trading firms, leveraging their advanced analytical skills to identify profitable trading opportunities in financial markets. Their work often involves programming, data analysis, and researching new algorithms to gain a competitive edge. The combination of a PhD-level education and quantitative trading expertise allows them to tackle highly complex problems and contribute to the success of trading operations.

What are the key skills and qualifications needed to thrive as a PhD quant trader?

To thrive as a PhD Quantitative Trader, you need advanced quantitative and analytical skills, a strong background in mathematics, statistics, or physics, and typically a PhD in a quantitative discipline. Expertise in programming languages such as Python, C++, or R, along with familiarity with trading platforms and financial modeling tools, is essential. Critical thinking, problem-solving ability, and effective communication skills help you collaborate with teams and quickly adapt to changing markets. These skills and qualities are crucial for developing and executing profitable trading strategies in highly competitive and data-driven financial environments.

What kinds of collaboration can a PhD quant trader expect with other teams or departments?

As a PhD Quant Trader, you can expect frequent collaboration with software engineers, data scientists, and risk management professionals. Much of your work involves sharing quantitative models and insights with developers for implementation and discussing trading strategies with portfolio managers. Effective communication is crucial, as you'll often need to explain complex mathematical models to colleagues with different backgrounds. This cross-functional teamwork not only enhances trading performance but also provides opportunities to broaden your skill set and understanding of the business.

What is the difference between Phd Quant Trading vs Quant Analyst?

AspectPhd Quant TradingQuant Analyst
Required CredentialsPhD in Mathematics, Physics, or related fieldBachelor's or Master's in Finance, Math, or related field
Work EnvironmentResearch-driven, algorithm development, trading strategy implementationData analysis, model development, reporting
Employer & Industry UsageHedge funds, proprietary trading firms, investment banksAsset management firms, hedge funds, banks

Phd Quant Trading professionals typically hold advanced degrees and focus on developing and implementing trading algorithms, often working in research-heavy environments. Quant Analysts usually have bachelor's or master's degrees and focus on analyzing data and supporting trading strategies. Both roles are integral to quantitative finance but differ mainly in educational requirements and daily responsibilities.

What are popular job titles related to Phd Quant Trading jobs?

For Phd Quant Trading jobs, the most frequently searched job titles are:

Infographic showing various Phd Quant Trading job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

2026 Quant Trading Associate

Manhattan, NY • On-site

Quant Blueprint LLC
See more jobs at Quant Blueprint LLCexternal

$100K - $200K/yr

Other

Posted 9 days ago

Job description

Overview

Quantitative Researcher, Single Stock Options. Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. A fast-growing, collaborative, and entrepreneurial systematic investment team is seeking a strong single stock options quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.

Responsibilities
  • Work alongside the Senior Portfolio Manager on alpha research and development for systematic equity volatility strategies, with a primary focus on:
    • Idea generation
    • Data gathering and pre-processing
    • Research and analysis
    • Model implementation and back-testing
  • Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
  • Collaborate with the Senior Portfolio Manager in a transparent environment, engaging with the whole investment process
Preferred Location

New York

Education and Qualifications
  • Master's or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science, or related field from a top-tier university
  • Very strong candidates with Bachelor's degrees will also be considered
  • Strong abstract reasoning and independent problem-solving skills
  • Excellent communication skills
Technical Skills
  • Strong research and programming skills
  • Python is a must
  • Experience in C++, kdb/q, SQL is a plus
Experience
  • 2-5 years of experience working in quantitative research/quantitative trading with a focus on mid-frequency linear equity/equity options strategies
  • Demonstrated ability to conduct independent and innovative signal research
  • Experience in statistical arbitrage strategies is highly preferred
  • Experience in options/volatility is preferred but not required
  • Experience in machine learning is a plus (theoretical understanding and hands-on experience in building scalable ML pipelines for data extraction, feature engineering, model implementation, training, tuning, evaluation, and deployment)
Target Start Date

12 months for exceptional candidates (strong preference for candidates who can start sooner)

Compensation

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $100,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

#J-18808-Ljbffr

Apply