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Quantitative Research Phd Jobs (NOW HIRING)

Citadel Securities

$4.5K - $5.8K/wk

As an intern, you'll dive into research through an 11 week program that will allow you to ... PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative ...

Susquehanna

$8.6K/wk

PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.

Susquehanna

$8.6K/wk

PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.

Citadel

$4.5K - $5.8K/wk

Partner with the Quantitative Research team to define priorities and deliver custom software solutions Your Skills & Talents * PhD degree in computer science, mathematics, statistics, physics, or ...

Citadel

$4.5K - $5.8K/wk

Partner with the Quantitative Research team to define priorities and deliver custom software solutions Your Skills & Talents * PhD degree in computer science, mathematics, statistics, physics, or ...

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Quantitative Research Phd information

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How much do quantitative research phd jobs pay per year?

As of Sep 10, 2026, the average yearly pay for quantitative research phd in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a quantitative research PhD?

Quantitative Research PhDs are experts who apply advanced mathematical, statistical, and computational techniques to analyze data and solve complex problems, often in fields like finance, economics, or social sciences. They typically hold a doctorate in a quantitative discipline such as mathematics, statistics, physics, or engineering. These professionals design models, conduct empirical research, and create algorithms to extract insights from data, inform decision-making, and drive innovation. In industries like finance, they may develop trading strategies or risk models, while in academia or tech, they contribute to research and product development.

What are the key skills and qualifications needed to thrive as a quantitative research PhD?

To thrive as a Quantitative Research PhD, you need advanced expertise in mathematics, statistics, and data analysis, typically supported by a doctorate in a quantitative discipline such as mathematics, statistics, physics, or computer science. Proficiency in programming languages (like Python, R, or MATLAB), quantitative modeling, and statistical software is essential, as are experience with high-performance computing and data management systems. Strong problem-solving abilities, critical thinking, and clear communication skills help you convey complex findings and collaborate with multidisciplinary teams. These skills and qualities are critical for producing innovative research, driving data-driven decisions, and maintaining accuracy and rigor in quantitative analysis.

What are some common challenges faced by quantitative research PhDs when transitioning from academia to industry roles?

Quantitative Research PhDs often encounter challenges such as adapting to faster project timelines, aligning their research with business objectives, and communicating complex findings to non-technical stakeholders. Unlike academia, where research may be more exploratory, industry roles require practical application and collaboration with cross-functional teams like engineering or trading. Successfully navigating these differences involves developing strong communication skills, learning to prioritize business impact, and quickly iterating on models or analyses to meet organizational needs.

What is the difference between Quantitative Research Phd vs Quantitative Analyst?

AspectQuantitative Research PhdQuantitative Analyst
Required CredentialsPhD in a quantitative field (e.g., Mathematics, Economics)Bachelor's or Master's in Finance, Economics, or related fields
Work EnvironmentAcademic, research institutions, or advanced R&D teamsFinancial firms, investment banks, hedge funds
Industry UsageResearch, academia, specialized R&D rolesTrading, risk management, portfolio analysis

While both roles involve advanced quantitative skills, a Quantitative Research Phd typically focuses on developing new models and theories in academic or research settings, often requiring a PhD. In contrast, a Quantitative Analyst applies quantitative methods directly to financial markets, often with a Bachelor's or Master's degree, working in finance firms to inform trading and investment decisions.

What are popular job titles related to Quantitative Research Phd jobs?

For Quantitative Research Phd jobs, the most frequently searched job titles are:

Quantitative Researcher - PhD Intern (US)

Citadel Securities
Finance and Insurance • 1 - 5K employees
Learn more about Citadel Securitiesexternal

$4.5K - $5.8K/wk

Full-time, Internship

Posted 8 days ago

Key responsibilities

  • Develop and test automated quantitative trading strategies using statistical techniques.

  • Back test and implement trading models and signals in a live trading environment.

  • Conduct research and statistical analysis to build and refine monetization systems for trading signals.

Job description

Job Description

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

As an intern, you'll dive into research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

Your Objectives

  • Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
  • Back test and implement trading models and signals in a live trading environment
  • Use unconventional data sources to drive innovation
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals

Your Skills & Talents

  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code (Python, R or C++)
  • Independent research experience
  • Ability to manage multiple tasks and thrive in a fast-paced team environment
  • Excellent analytical skills, with strong attention to detail
  • Strong written and verbal communication skills

Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel Securities, please share your details and we will contact you if there is a vacancy available.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel Securities

Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .

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