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Quantitative Finance Jobs (NOW HIRING)

Galaxy

VP, Quantitative Developer

New York, NY · On-site

This role requires a strong background in software development, quantitative analysis, and financial markets, particularly in the FX and Crypto trading domains. What You'll Do: * Develop, implement ...

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

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

Cubist Quantitative Researcher

New York, NY

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research ...

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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 Jun 12, 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 large datasets, employ tools like Python or R, and may hold advanced degrees in mathematics, finance, or related fields.

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.

What jobs can you get with quantitative finance?

With a background in quantitative finance, common roles include quantitative analyst, risk manager, financial engineer, and algorithmic trader. These positions typically require strong skills in mathematics, programming, and data analysis, often using tools like Python, R, or MATLAB, and may require relevant certifications such as CFA or FRM.

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.

Is 30 too late to become a quant?

Quantitative finance is accessible to individuals who develop strong skills in mathematics, programming, and finance, regardless of age. Many quants transition into the field after gaining relevant experience or education, and age is less of a barrier than technical proficiency and continuous learning.
More about Quantitative Finance jobs
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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 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
VP, Quantitative Developer

VP, Quantitative Developer

Galaxy

New York, NY • On-site

Other

Posted 26 days ago

Job description

Who You Are:

We are seeking a highly skilled Quantitative Developer to join our Crypto trading desk.
The successful candidate will collaborate with traders, quants, and other developers to
design, implement, and optimize market making and quantitative trading strategies.
This role requires a strong background in software development, quantitative analysis,
and financial markets, particularly in the FX and Crypto trading domains.

What You'll Do:

  • Develop, implement, and maintain high-performance trading algorithms and
    models for Crypto markets
  • Collaborate with traders and quantitative analysts to understand trading
    strategies and translate them into efficient code
  • Optimize existing trading systems for speed, reliability, and scalability
  • Integrate new data sources and ensure data integrity for accurate model input
  • Monitor and troubleshoot live trading systems, ensuring minimal downtime and
    optimal performance
  • Stay up-to-date with the latest advancements in quantitative finance, software
    development, and Crypto markets
  • Contribute to the continuous improvement of development processes and tools

What We're Looking For:

  • Experience working in algorithmic trading environments in Java.
  • Knowledge of tick data analytics and real-time market data processing.
  • Familiarity with cloud-based market access or hybrid deployments.
  • Proven experience in developing and implementing quantitative models and
    trading algorithms
  • Strong programming skills in Java
  • Experience with high-frequency / low-latency trading systems
  • Experience working on an FX or Cryptocurrency trading desk
  • Experience in integrating and executing strategies on DeFi platforms (SOL/ETH)
  • Excellent communication skills, both written and verbal

Bonus Points:

  • Experience in the DeFi, or crypto space.
  • Experience with market making / market making as a service
  • Exposure to regulatory or compliance-driven environments.
  • Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps
    processes
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About Galaxy

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

201 - 500 Employees

Headquarters location

New York, NY, US

Year founded

2018

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