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Quantitative Strategist Jobs (NOW HIRING)

DRW

Quantitative AI Strategist

New York, NY · On-site

$132K - $171K/yr

We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development - focused on ...

Anson McCade

Equity Vol Strat

Manhattan, NY

$400K/yr

Permanent Equity Volatility Quantitative Strategist - New York City We are seeking an experienced Equity Volatility Quantitative Strategist to join our front-office quantitative research team in New ...

Triumph

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

You'll have a direct impact on all facets of the business, applying your quantitative rigor ... and strategic decisions. * Design and build machine learning models that directly inform ...

Triumph Arcade, Inc

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

You'll have a direct impact on all facets of the business, applying your quantitative rigor ... and strategic decisions. * Design and build machine learning models that directly inform ...

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Quantitative Strategist information

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$45K

$139.9K

$177.5K

How much do quantitative strategist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for quantitative 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 is the difference between Quantitative Strategist vs Quantitative Analyst?

AspectQuantitative StrategistQuantitative Analyst
Required CredentialsTypically requires advanced degrees (Master's or PhD) in finance, mathematics, or related fieldsOften requires a bachelor's or master's degree in finance, economics, or mathematics
Work EnvironmentStrategic roles in hedge funds, investment banks, or asset management firms focusing on developing trading strategiesData analysis and modeling in financial institutions, supporting trading and risk management
Employer & Industry UsageCommonly employed in hedge funds, proprietary trading firms, and investment banksWidely used across financial services, including banks, asset managers, and hedge funds

While both roles involve quantitative skills and financial knowledge, Quantitative Strategists focus on developing trading strategies and long-term financial plans, whereas Quantitative Analysts primarily analyze data and build models to support trading and risk decisions.

What is a Quantitative Strategist?

A Quantitative Strategist, often called a 'quant strategist,' is a finance professional who uses mathematical models, statistical analysis, and computer programming to develop trading strategies and manage financial risk. Their work typically involves analyzing large datasets, building predictive models, and creating algorithms to identify investment opportunities or optimize portfolios. Quantitative Strategists are commonly employed by investment banks, hedge funds, and asset management firms, where their insights help inform trading decisions and enhance financial performance.

How does a Quantitative Strategist typically collaborate with traders and portfolio managers?

Quantitative Strategists work closely with traders and portfolio managers by developing, backtesting, and implementing trading models and strategies. They translate complex data analysis into actionable insights, often participating in regular meetings to discuss market trends and the performance of existing strategies. Effective communication and a strong understanding of financial markets are essential, as Quantitative Strategists must explain their findings and adapt models in response to real-time feedback from trading teams. This collaborative environment fosters innovation and helps ensure that strategies are both theoretically sound and practically effective.

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

To thrive as a Quantitative Strategist, you need strong quantitative analysis, advanced mathematics, and programming skills, typically supported by a degree in a quantitative field such as mathematics, physics, or finance. Proficiency in statistical software, programming languages like Python, R, or C++, and experience with financial modeling platforms are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These capabilities enable a Quantitative Strategist to develop data-driven investment strategies and provide a competitive edge in fast-paced financial markets.
More about Quantitative Strategist jobs
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What job categories do people searching Quantitative Strategist jobs look for? The top searched job categories for Quantitative Strategist jobs are:
Quantitative Strategist jobs near you
Infographic showing various Quantitative Strategist job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $139,867 per year, or $67.2 per hour.

E-Rates Quant Trader/Researcher

Quanta Search

New York, NY

Other

Posted 11 days ago

Job description

Location: New York (Midtown) office.
Role:Quantitative strategist.
Team:US Interest Rates electronic trading team
Key Responsibilities:Designing, developing and managing profitable systematic trading strategies in the global US Interest Rates markets. The candidate is expected to perform her/his own trading strategy design and research. As such, the role requires high level development in C++ and Python. We expect the candidate to collaborate actively with the team's technology and trading experts for production implementation.
The team is particularly interested in candidates with expertise in the following:
  • CME Eurodollars trading
  • Cash US Treasury / Futures basis trading
  • Fundamental data / economic event driven strategies
  • Liquidity taking strategies
This is an opportunity to be part of a small group of talented individuals that develop cutting edge algorithmic trading strategies. The strategist will have the opportunity to deploy its trading strategy with limited infrastructure build time by leveraging an existing successful technology and research platform.
  • Education: B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer science
  • Seniority: minimum of 3 years of experience working on a prop trading, quantitative trading or electronic trading desk (investment bank, hedge fund, etc.).
  • Skills:
    • Significant experience with alpha generation and portfolio management.
    • Ability to deploy and manage a trading strategy from inception.
    • Strong programming skills (C++ and Python preferred)
    • Working knowledge of Linux and code repository management preferred.
    • Self-motivated, hard-working and creative personality
    • Clear and confident communication skills.

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