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Quantitative Finance Jobs (NOW HIRING)

Collabera LLC

Quantitative Analyst

Charlotte, NC · On-site

Pure Python development without quantitative finance. * Data science backgrounds lacking derivatives knowledge. Skill Weighting (Very Important): 1.Cross-Margin Expertise 50% * Prime Brokerage margin ...

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 ...

Collabera

Quantitative Analyst

Charlotte, NC · On-site

Pure Python development without quantitative finance. Data science backgrounds lacking derivatives knowledge. Skill Weighting (Very Important): 1.Cross-Margin Expertise - 50% Prime Brokerage margin ...

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 ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

... of financial markets. The firm employs a research-led approach to generate attractive risk-adjusted returns through a broad portfolio of quantitative trading strategies. Technology, data, and ...

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Quantitative Finance information

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$31K

$90.6K

$146K

How much do quantitative finance jobs pay per year?

As of Jul 2, 2026, the average yearly pay for quantitative finance 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.

Do quants make a lot of money?

Quantitative finance professionals, or quants, often earn high salaries due to their specialized skills in mathematics, programming, and financial modeling. Compensation typically includes base salary, bonuses, and profit sharing, with total earnings frequently exceeding those of many other finance roles, especially at senior levels or in hedge funds and investment banks.

What is quantitative finance?

Quantitative finance is a field that uses mathematical models, statistics, and computational techniques to analyze financial markets and securities. Professionals in this area, known as 'quants,' develop algorithms and models to price assets, manage risk, and optimize investment strategies. Quantitative finance plays a critical role in investment banks, hedge funds, asset management firms, and financial technology companies. The field requires strong skills in mathematics, programming, and finance.

What is a quantitative finance career?

A quantitative finance career involves using mathematical models, statistical techniques, and programming skills to analyze financial markets and develop trading strategies, risk management tools, or investment models. Professionals in this field often work with software like Python, R, or MATLAB and may hold degrees in mathematics, engineering, or finance. The role typically requires strong analytical abilities and knowledge of financial instruments and markets.

What are the key skills and qualifications needed to thrive in Quantitative Finance, and why are they important?

To thrive in Quantitative Finance, you need strong mathematical, statistical, and analytical skills, typically supported by an advanced degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python, R, or C++, as well as experience with financial modeling and platforms such as MATLAB or Bloomberg Terminal, is highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating on complex financial projects. These skills enable professionals to develop and implement sophisticated models that drive informed investment decisions and risk management in high-stakes financial environments.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts, often called quants, for roles in risk management, trading, and algorithm development. These positions typically require strong skills in mathematics, programming, and financial modeling, and candidates often hold advanced degrees in related fields. The firm offers a competitive environment for quants working with large datasets and financial models.

What jobs can you get with quantitative finance?

With a background in quantitative finance, common job roles include quantitative analyst, risk manager, financial engineer, algorithmic trader, and data scientist. These roles typically require strong skills in mathematics, programming, and statistical analysis, often using tools like Python, R, or MATLAB. They are found in investment banks, hedge funds, asset management firms, and financial technology companies.

What is the difference between Quantitative Finance vs Quantitative Analysis?

AspectQuantitative FinanceQuantitative Analysis
Required CredentialsDegree in Finance, Mathematics, or related fields; often CFA or FRM certificationsDegree in Mathematics, Statistics, or Finance; certifications like CFA are common
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, banks, trading desks
Employer & Industry UsageFocuses on developing trading strategies, risk management, and financial modelingAnalyzes data to inform trading decisions, risk assessment, and investment strategies

Quantitative Finance and Quantitative Analysis share overlapping skills and credentials, but Quantitative Finance emphasizes developing financial models and trading strategies, while Quantitative Analysis focuses on data analysis to support investment decisions. Both roles are vital in finance but serve different primary functions.

What are some common challenges faced by professionals in quantitative finance roles, and how can they be addressed?

Professionals in quantitative finance often encounter challenges such as managing large and complex data sets, staying updated with rapidly evolving financial models, and ensuring accurate risk assessment in volatile markets. Collaboration with technology and trading teams is crucial to develop robust algorithms and implement models effectively. Continuous learning and adaptability are key, as the field demands keeping pace with new programming languages, statistical methods, and regulatory changes.
More about Quantitative Finance jobs
What cities are hiring for Quantitative Finance jobs? Cities with the most Quantitative Finance job openings:
What are the most commonly searched types of Quantitative Finance jobs? The most popular types of Quantitative Finance jobs are:
What states have the most Quantitative Finance jobs? States with the most job openings for Quantitative Finance jobs include:
What job categories do people searching Quantitative Finance jobs look for? The top searched job categories for Quantitative Finance jobs are:
Quantitative Finance jobs near you
Infographic showing various Quantitative Finance job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% 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

Quantitative Analyst, Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Posted 27 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.

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

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