ZipRecruiter

Log In

1

Quantitative Finance Physics Phd Jobs (NOW HIRING)

Point72

Equity Quantitative Researcher

New York, NY

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics * 1+ years of work experience in systematic alpha ...

Point72

Equity Quantitative Researcher

New York, NY · On-site

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics * 1+ years of work experience in systematic alpha ...

Point72

Macro Quantitative Researcher

New York, NY · On-site

MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics * 4+ years of signal research or portfolio ...

Point72

Macro Quantitative Researcher

New York, NY · On-site

MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics * 4+ years of signal research or portfolio ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline. * Strong ...

next page

Showing results 1-20

All JobsQuantitative Finance Physics Phd Jobs

Quantitative Finance Physics Phd information

See salary details

$31K

$90.6K

$146K

How much do quantitative finance physics phd jobs pay per year?

As of Aug 7, 2026, the average yearly pay for quantitative finance physics phd in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantitative Finance Physics PhD, you need advanced mathematical modeling, statistical analysis, and programming skills, typically supported by a PhD in physics, mathematics, or a related quantitative field. Familiarity with technical tools such as Python, MATLAB, R, and financial systems like Bloomberg Terminal, along with knowledge of financial theories and possibly certifications like CFA, is highly valued. Strong problem-solving abilities, critical thinking, and effective communication set top candidates apart in this competitive field. These competencies are crucial for developing robust financial models, interpreting complex data, and making informed investment decisions in high-stakes environments.

What is a quantitative finance physics PhD?

A Quantitative Finance Physics PhD is a professional who holds a doctoral degree in physics and works in quantitative finance, often as a 'quant.' They use advanced mathematical, statistical, and computational methods—skills developed during their physics training—to analyze financial markets, develop pricing models, and manage risk. Their strong background in problem-solving and data analysis makes them valuable in roles such as quantitative analyst, risk manager, or algorithmic trader within banks, hedge funds, and financial institutions.

How do physics PhDs typically transition their skills into the collaborative environment of a quantitative finance team?

Physics PhDs often bring advanced analytical and problem-solving skills to quantitative finance, but adapting to the collaborative and fast-paced nature of finance teams can be a new challenge. In this role, you'll frequently work alongside software engineers, traders, and other quantitative analysts, combining your mathematical modeling background with financial data analysis. Successful adaptation involves learning industry-specific programming languages (like Python or C++), understanding financial products, and embracing continuous communication to align your models with business objectives. Team members typically value curiosity, the ability to explain complex concepts clearly, and openness to feedback, all of which help foster innovation and drive results.
More about Quantitative Finance Physics Phd jobs
What cities are hiring for Quantitative Finance Physics Phd jobs? Cities with the most Quantitative Finance Physics Phd job openings:
What states have the most Quantitative Finance Physics Phd jobs? States with the most job openings for Quantitative Finance Physics Phd jobs include:
What job categories do people searching Quantitative Finance Physics Phd jobs look for? The top searched job categories for Quantitative Finance Physics Phd jobs are:
Quantitative Finance Physics Phd jobs near you
Infographic showing various Quantitative Finance Physics Phd job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Analyst, Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Re-posted 3 days ago

Job description

Overview
Job Purpose
The Quantitative Analyst will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role for this position will be to provide model research, development, and strategic recommendations to solve practical problems in the financial industry. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions and defend assumptions. This role requires frequent interaction with Quant Research, Data Analytics, Risk Management, Technology Development and Senior Management.
Responsibilities
  • Design and develop quantitative model analytics frameworks to assess model usage and performance.
  • Create relevant test data sets, and portfolio strategies to be submitted to the model validators and regulators.
  • Investigate model behavior, carry out root cause analysis, and give model improvement suggestions.
  • Provide documentation of methods, techniques, results, and analysis.
  • Analyze large data sets, including positions, prices, and other market/liquidity data.
  • Research and design innovative quantitative solutions for stakeholders.
  • Develop and support in-house quantitative R&D platform and analytics tools to automate model testing, analysis, and visualization.

Knowledge and Experience
  • Master's Degree or above in math, quantitative finance, physics, statistics, computer science or similar quantitative fields.
  • Proficiency in Python, SQL, and object-oriented programming.
  • Advanced knowledge in math (stochastic process, probability theory, numerical methods).
  • Ability to work in a high-performance, high-velocity environment.
  • Strong analytical and organizational skills with acute attention to detail.
  • Strong communication skills in both verbal and written English.

Preferred
  • Strong knowledge of Python, SQL, and C++.
  • Strong knowledge in object-oriented programming.
  • Work experience in Options Pricing Theory.
  • Work experience in Data Analytics.

-
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

Apply