ZipRecruiter

Log In

1

Quantitative Finance Jobs (NOW HIRING)

Turing

Remote Quantitative Finance Analyst

Chicago, IL · Remote

$100 - $200/hr

Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modeling, statistical ...

Leland

Quantitative Finance Coach

We're seeking an experienced quantitative finance coach to work with students and professionals pursuing careers in quant finance. This role includes helping students apply AI fundamentals and AI ...

National Black MBA Association

$90 - $155/hr

Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches As a Quantitative Finance Analyst on the team, your main responsibilities ...

next page

Showing results 1-20

All JobsScience JobsResearch JobsResearch Assistant JobsQuantitative Finance Jobs

Quantitative Finance information

See salary details

$31K

$90.6K

$146K

How much do quantitative finance jobs pay per year?

As of Sep 1, 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.

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 are the key skills and qualifications needed to thrive in quantitative finance?

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 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.

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 jobs can you get with quantitative finance?

With a background in quantitative finance, common roles include quantitative analyst, risk manager, financial engineer, algorithmic trader, and data scientist. These positions typically require strong skills in mathematics, programming, and financial modeling, often utilizing tools like Python, R, or MATLAB, and may require relevant certifications such as CFA or FRM.
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 August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Remote Quantitative Finance Analyst

Turing

Chicago, IL • Remote

$100 - $200/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Turing: 
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview: 
Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

What Does Day-to-Day Look Like:
  • Evaluate LLM models on quantitative finance topics such as stochastic modeling, derivatives pricing, statistical arbitrage, and risk quantification.
  • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and backtesting methodologies.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Requirements:
  • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modeling).
  • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory, and programming languages such as Python, R, or C++.
  • Excellent written English communication.

Bonuses (Not at All Necessary):
  • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.
  • Perks of Freelancing with Turing:
    • Work on the cutting edge of AI and finance.
    • Fully remote and flexible work environment.
  • Competitive hourly compensation of ~$100+/hour depending on experience.

Offer Details:
  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.