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Quant Strategist Jobs (NOW HIRING)

Quantitative Developer

Manhattan, NY ยท On-site

$130 - $160/hr

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer ... Designing and developing quantitative mathematical algorithms to link the diverse data sets from ...

Fraud Strategist, Quantitative

San Mateo, CA ยท On-site +1

$138K - $178K/yr

Fraud Strategist, Quantitative San Mateo or San Diego, CA (hybrid) US Remote (considered) Role overview: As a member of the Fraud Strategy team, you will analyze transactional and historical data ...

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Quant Strategist information

See salary details

$45K

$139.9K

$177.5K

How much do quant strategist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quant strategist in the United States is $139,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quant strategist?

To thrive as a Quant Strategist, you need strong quantitative analytics, mathematical modeling, and programming skills, typically supported by an advanced degree in a quantitative field such as mathematics, physics, or finance. Expertise with programming languages like Python, R, C++, and familiarity with statistical analysis tools, databases, and financial modeling systems is crucial. Exceptional problem-solving abilities, attention to detail, and clear communication help you stand out in cross-functional teams. These skills are essential for developing, testing, and implementing trading strategies that drive financial performance and manage risk in dynamic markets.

How do quant strategists typically collaborate with other teams, such as traders and software engineers, in a financial firm?

Quant Strategists frequently work in cross-functional teams, collaborating closely with traders to understand market needs and with software engineers to implement quantitative models. They are often responsible for translating complex financial theories into practical tools and strategies that can be executed in real-time trading environments. Effective communication and teamwork are essential, as Quant Strategists need to ensure that their models align with trading objectives and are robustly integrated into the firm's technology stack. Regular meetings and feedback loops are common to keep all stakeholders aligned and to adapt strategies based on market feedback.

What is the difference between Quant Strategist vs Quant Analyst?

AspectQuant StrategistQuant Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; often CFA or FRM certificationsSimilar educational background; often entry to mid-level roles with fewer certifications
Work EnvironmentStrategic planning, model development, and high-level decision support in hedge funds, investment banks, or asset managersData analysis, model testing, and implementation support within trading teams or research departments
Employer & Industry UsageFinancial institutions, hedge funds, asset management firmsFinancial firms, investment banks, asset managers, hedge funds

While both roles require strong quantitative skills and similar educational backgrounds, Quant Strategists focus on developing trading strategies and high-level models, whereas Quant Analysts primarily analyze data and support model implementation. The Strategist role is more strategic and decision-oriented, while the Analyst role is more technical and data-focused.

What is a quant strategist?

Quant Strategists, also known as quantitative strategists or 'quants,' are finance professionals who use mathematical models, statistical techniques, and computer algorithms to analyze financial data and develop trading strategies. They play a crucial role in investment banks, hedge funds, and asset management firms by identifying patterns, assessing risks, and optimizing portfolios. Quant Strategists often have backgrounds in mathematics, physics, computer science, or engineering, and are skilled in programming languages like Python, R, or C++. Their work helps firms make data-driven decisions and stay competitive in complex financial markets.
More about Quant Strategist jobs
Infographic showing various Quant Strategist job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution, with an average salary of $139,867 per year, or $67.2 per hour.

Global Quantitative Strategies | Quantitative Researcher

Citadel LLC

Rochester, NY โ€ข On-site

$200 - $300/hr

Other

Medical, Life, Retirement

Posted 4 days ago


Job description

About Global Quantitative Strategies (GQS)

GQS is the quantitative investment business of Citadel. Founded in 2012, GQS has rapidly grown to become one of Citadelโ€™s core investment strategies and one of the top quantitative investment teams in the world. Agile teams of researchers, engineers, and traders develop robust systems that allow us to operate performant at scale and apply advanced statistical and quantitative modeling techniques to identify and act on investment opportunities.

Quantitative Researchers (QRs)

Specialize in a variety of areas, including but not limited to: using sophisticated data analysis skills to build predictive models, driving construction of a complex multi-asset portfolio by utilizing large-scale portfolio optimization techniques, and developing sophisticated optimization algorithms. Researchers with an exceptional record of achievement in their respective fields and a drive to apply quantitative techniques to investing are encouraged to apply to GQS.

Required Skills and Qualifications:
  • Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or a related field
  • Proven ability to conduct innovative and impactful research focused on solving real-world problems
  • Relentless focus on continuous learning and making an impact; ability to question the status quo
  • Strong mathematical and statistical modeling skills (e.g., time-series and cross-sectional analysis)
  • Proficiency in coding (C++ or Python preferred)
  • Demonstrated passion for financial markets and driven to analyze and model drivers of price formation and risk

In accordance with applicable law, the base salary range for this role is $200,000 to $300,000. In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.

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