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Phd Quant Jobs (NOW HIRING)

OPTWISE CONSULTING LLC

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Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Master's or PhD Professional Experience Minimum 3+ years in one or more of the following: * Quant Research * Quant Trading * Quantitative Development * Quantitative Risk * Systematic Investing

Man Group

Principal Quant

New York, NY · On-site

PhD or exceptional Masters / Bachelors qualification in a quantitative subject * Expertise in Python and Linux environments * Comfortable proficiency in C++, Java, or another low-level language

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 ...

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 · 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 ...

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 ...

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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 Jul 16, 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.

Is a PhD necessary for quant?

A PhD is not strictly required to become a quant, but many quantitative analysts hold advanced degrees such as a PhD in fields like mathematics, physics, or finance. Having a PhD can provide a competitive edge, especially for roles involving complex modeling, research, or algorithm development, but relevant skills and experience are also highly valued.

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.

Does JP Morgan hire quants?

Yes, JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and often involve using tools like Python, C++, or MATLAB.

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.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, computer science, and engineering, to develop and implement quantitative trading strategies. These roles often require strong analytical skills, programming expertise in languages such as Python or C++, and a solid understanding of financial markets. PhDs are valued for their research experience and ability to handle complex data analysis.

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 models used. Many also receive bonuses and profit-sharing, especially in hedge funds and investment banks. Advanced quantitative skills in programming and statistical analysis are highly valued in this field.

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.

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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
Quant Finance Career Coach

Quant Finance Career Coach

OPTWISE CONSULTING LLC

New York, NY • Remote

$40 - $50/hr

Part-time

Posted 21 days ago

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Job description

We are a North America-based career coaching firm dedicated to helping students and early-career professionals secure competitive positions at leading quantitative finance firms, hedge funds, proprietary trading firms, investment banks, and fintech companies.

Our students come from top universities including CMU, Cornell, MIT, Stanford, Berkeley, Princeton, Columbia, UChicago, NYU, Waterloo, and other leading institutions. We provide personalized career coaching that includes resume development, interview preparation, networking strategy, technical guidance, and recruiting support.

We are seeking experienced Quant Finance Career Coaches who have firsthand industry experience and a passion for mentoring the next generation of quantitative finance professionals.

Responsibilities

As a Quant Finance Career Coach, you will:

Career Strategy

  • Conduct 1-on-1 career consultations
  • Evaluate students' backgrounds and identify strengths and gaps
  • Develop customized recruiting roadmaps
  • Help students target appropriate firms and roles

Examples include:

  • Quant Research
  • Quant Trading
  • Quant Developer
  • Quantitative Analyst
  • Risk Quant
  • Systematic Trading
  • Algorithmic Trading
  • Portfolio Analytics

Resume & LinkedIn Optimization

Guide students in:

  • Quant-focused resume writing
  • Technical storytelling
  • Research presentation
  • Project positioning
  • GitHub optimization
  • LinkedIn branding

Technical Interview Preparation

Coach students on:

Mathematics

  • Probability
  • Statistics
  • Linear Algebra
  • Optimization
  • Stochastic Processes

Programming

  • Python
  • C++
  • SQL
  • Data Structures
  • Algorithms

Quant Topics

  • Options
  • Derivatives
  • Portfolio Theory
  • Market Microstructure
  • Time Series
  • Machine Learning
  • Factor Models

Mock Interviews

Conduct realistic mock interviews including:

  • Technical interviews
  • Quant brainteasers
  • Probability questions
  • Coding interviews
  • Behavioral interviews
  • Research discussions

Provide detailed feedback and improvement plans.

Recruiting Support

Advise students on:

  • Internship recruiting
  • Full-time recruiting
  • Networking strategy
  • Referral strategy
  • Recruiting timelines
  • Offer negotiation

Student Mentorship

  • Track student progress
  • Assign weekly action items
  • Review applications
  • Support recruiting throughout the hiring cycle
  • Provide motivation and accountability

Required Qualifications

  • Bachelor's degree in:
    • Mathematics
    • Statistics
    • Computer Science
    • Physics
    • Financial Engineering
    • Operations Research
    • Economics
    • Quantitative Finance
    • Related quantitative discipline

Preferred:

Master's or PhD

Professional Experience

Minimum 3+ years in one or more of the following:

  • Quant Research
  • Quant Trading
  • Quantitative Development
  • Quantitative Risk
  • Systematic Investing
  • Portfolio Analytics
  • Financial Engineering
  • Algorithmic Trading

Experience at leading firms is highly preferred.

Technical Skills

Strong knowledge of:

Programming

  • Python
  • C++
  • SQL

Quantitative Topics

  • Probability
  • Statistics
  • Machine Learning
  • Time Series
  • Derivatives
  • Optimization
  • Numerical Methods

Recruiting Knowledge

Deep understanding of recruiting at:

  • Hedge Funds
  • Proprietary Trading Firms
  • Investment Banks
  • Asset Managers
  • FinTech Companies

Knowledge of:

  • OA assessments
  • Quant interviews
  • Coding interviews
  • Brainteasers
  • Research presentations
  • Hiring timelines

Coaching Skills

Excellent ability to:

  • Explain complex concepts clearly
  • Mentor students with diverse backgrounds
  • Deliver actionable feedback
  • Build confidence
  • Communicate professionally

Preferred Qualifications

Experience with:

  • ACM/ICPC
  • Kaggle
  • Putnam
  • Math Olympiad
  • Competitive Programming
  • Quant competitions

Ideal Candidate

You are someone who:

  • Has worked in quantitative finance or systematic investing
  • Understands what top firms look for in candidates
  • Enjoys mentoring students
  • Stays current with hiring trends and interview practices
  • Can simplify advanced quantitative concepts
  • Is organized, responsive, and student-focused