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Quant Jobs (NOW HIRING)

Quantitative Developer

Manhattan, NY ยท On-site

$130 - $160/hr

Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers. * Engineering investment models that will make the buy and sell recommendations for ...

Quant Associate

New York, NY ยท On-site +1

$130K - $160K/yr

As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a variety of quantitative research initiatives, contributing to the development and enhancement of our ...

Quant Associate

New York, NY ยท On-site

$130K - $160K/yr

As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a variety of quantitative research initiatives, contributing to the development and enhancement of our ...

Quant Associate

New York, NY ยท On-site +1

$130K - $160K/yr

As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a variety of quantitative research initiatives, contributing to the development and enhancement of our ...

C++ Quant Developer

Manhattan, NY ยท On-site

$260K/yr

A degree in a technical or quantitative field Nice to haves: * Knowledge of Rates pricing and risk * Experience building or working with quant libraries * Understanding of network fundamentals and ...

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving complex problems. You will play a key role in ensuring our operations perform at the highest level ...

A degree in a technical or quantitative field Nice to haves: * Knowledge of Rates pricing and risk * Experience building or working with quant libraries * Understanding of network fundamentals and ...

C++ Quant Developer

New York, NY ยท On-site

$260K/yr

A degree in a technical or quantitative field Nice to haves: * Knowledge of Rates pricing and risk * Experience building or working with quant libraries * Understanding of network fundamentals and ...

As a part of our Quant team, you'll be studying the crypto market to find profitable trading opportunities and build automated trading strategies. The ideal candidate would be someone who has ...

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving complex problems. You will play a key role in ensuring our operations perform at the highest level ...

Quant

Chicago, IL ยท On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and optimizing current and future trading opportunities. We are seeking a candidate that is looking for an ...

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Quant information

See salary details

$98K

$169.7K

$259.5K

How much do quant jobs pay per year?

As of Aug 25, 2026, the average yearly pay for 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.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

What are the key skills and qualifications needed to thrive as a quant, and why are they important?

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Are quant jobs high paying?

Quant jobs, which involve quantitative analysis and modeling, are generally high paying within the finance industry due to the specialized skills required, such as programming, mathematics, and data analysis. Salaries can vary based on experience, location, and the firm, but they are often among the top-paying roles in finance and technology sectors.

What are the jobs in quant?

Quant jobs typically involve developing and implementing mathematical models to analyze financial data, manage risk, and inform trading strategies. Common roles include quantitative analyst, quantitative researcher, quantitative developer, and risk manager, often requiring strong skills in programming, statistics, and finance. These positions are prevalent in investment banks, hedge funds, and asset management firms.

What cities are hiring for Quant jobs?

Cities with the most Quant job openings:

What are the most commonly searched types of Quant jobs?

The most popular types of Quant jobs are:

What states have the most Quant jobs?

States with the most job openings for Quant jobs include:

Infographic showing various Quant job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Developer

Quant Blueprint LLC

Manhattan, NY โ€ข On-site

$130 - $160/hr

Other

Posted 19 days ago


Job description

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role
  • Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
  • Overseeing automated trade execution and monitoring transaction costs.
  • Supervising a small team of researchers and developers on a daily basis.
  • Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
  • Performing research to acquire historical and production data sources needed to build investment models.
  • Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
  • Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
  • Using quantitative models to value securities.
  • Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
  • Developing aspects of successful statistical models, focusing on forecasting and optimization.
  • Expanding trading universe and volume and expanding to other exchanges and products.
Requirements
  • Advance degree (Masters or Ph.D.) in a computational or analytical field.
  • Minimum of 10 years' experience developing, researching or implementing quantitative models for equities, futures and/or FX.
  • Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
  • Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.
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