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Phd Quant Jobs in Rochester, NY (NOW HIRING)

Healthcare Degree

Bioinformatics Scientist

Rochester, NY · On-site

... PhD at Duke University Center for Genomic and Computational Biology has over 55 faculty members from 18 departments across campus. Students receive intensive training in quantitative and biomedical ...

groteindustries

Mechanical Engineer

Avon, NY · On-site

... quantitative analysis. * Perform predictive simulations using software tools (FEA, CFD). * Must be ... Bachelors, Masters or PHD in Mechanical Engineering or Physics from an accredited University Years ...

Grote Industries

Mechanical Engineer

Avon, NY · On-site

$70K - $95K/yr

... quantitative analysis. * Perform predictive simulations using software tools (FEA, CFD). * Must be ... Bachelors, Masters or PHD in Mechanical Engineering or Physics from an accredited University Years ...

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Phd Quant information

See Rochester, NY salary details

$96.7K

$167.5K

$256K

How much do phd quant jobs pay per year?

As of Aug 28, 2026, the average yearly pay for phd quant in Rochester, NY is $167,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $196,300.00 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 key skills and qualifications needed to thrive as a PhD Quant?

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 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 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.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, computer science, and engineering, to develop and implement complex trading algorithms and models. Candidates typically need strong quantitative skills, programming experience in languages such as Python or C++, and a solid understanding of financial markets. A PhD can provide a competitive edge in securing roles in quantitative research, trading, or risk management within these firms.

How much do PhD quants make?

PhD quants typically earn between $150,000 and $300,000 annually, with compensation increasing based on experience, location, and the complexity of their quantitative models. Many also receive bonuses and profit-sharing, especially in finance and hedge fund environments where advanced statistical and programming skills are essential.

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What cities near Rochester, NY are hiring for Phd Quant jobs?

Cities near Rochester, NY with the most Phd Quant job openings:

Phd Quant jobs near you
Infographic showing various Phd Quant job openings in Rochester, NY as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $167,466 per year, or $80.5 per hour.

Quantitative Research Engineer - PhD Intern (US)

Citadel Enterprise Americas LLC

Rochester, NY • On-site

$205 - $264/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

At Citadel Securities, Quantitative Research Engineers work closely with Quantitative Researchers to develop and implement automated trading system software solutions. These solutions utilize advanced statistical and quantitative techniques to tackle complex financial challenges. We seek candidates with a proven track record of excellence in their field and a strong desire to apply their advanced software engineering skills to systematic investing.

As an intern, you'll get to challenge the impossible in 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
  • Design, develop, test, and deploy elegant software solutions for automated trading systems
  • 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 another highly quantitative field
  • Strong programming skills with proficiency in one or more programming languages, including C++, Python, and R
  • A deep passion for technology, software development, and mathematics
  • Strong computer science fundamentals and software development experience
  • Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development
  • Proven track record of creatively solving problems by understanding and prioritizing business value and applying technology solutions
  • 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.

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

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