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Quant Strategist Jobs (NOW HIRING)

Quanta Search

Sr. Quant Developer

Manhattan, NY

The firm deployssystematic, computer-driven trading strategies across multiple liquid asset classes ... Role: Experienced quantitative developer who will be one of the senior leads of the newly formed ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX

$175K - $200K/yr

THE ROLE As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders ... Analyze existing strategies to identify potential improvements * Develop risk models and frameworks ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

THE ROLE As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders ... Analyze existing strategies to identify potential improvements * Develop risk models and frameworks ...

Quanta Search

Delta One Quant Researcher

Manhattan, NY · On-site

The group is focused on quantitative market making and arbitrage strategies in numerous derivative products around the world. Jumping between machine-driven data analysis and our thoughts, we ...

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Quant Strategist information

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$45K

$139.9K

$177.5K

How much do quant strategist jobs pay per year?

As of Jun 21, 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, and why are they important?

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.

How much does a quant strategist make?

A quant strategist typically earns between $100,000 and $250,000 annually, with senior roles and those at top firms earning higher compensation that can include bonuses and profit sharing. Compensation depends on experience, education, and the complexity of models used, often requiring strong programming skills in languages like Python or C++.

What does a quant strategist do?

A quant strategist develops mathematical models and algorithms to identify trading opportunities and manage risk in financial markets. They use programming languages like Python or C++, analyze large datasets, and often work closely with traders and analysts to implement strategies. Strong quantitative skills, knowledge of finance, and proficiency with statistical tools are essential for this role.

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 jobs pay 500,000 a year in the US?

Quant Strategists in finance and hedge funds can earn $500,000 or more annually, especially with bonuses and performance incentives. High-level roles in investment banking, private equity, and executive positions in large corporations may also reach this compensation level, often requiring advanced degrees, extensive experience, and specialized skills in quantitative analysis, programming, and financial modeling.

What jobs make $1,000,000 a year?

Quant Strategists in finance and hedge fund managers are among the roles that can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. These positions typically require advanced quantitative skills, experience, and a strong understanding of financial markets and risk management. High earnings are usually associated with firms operating in competitive, high-stakes environments and may involve long hours and high pressure.

What are Quant Strategists?

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.
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Quant Strategist jobs near you

Sr. Quant Developer

Quanta Search

Manhattan, NY

Other

Posted 13 days ago

Job description

Our client is one of the world's premier investment firms. The firm deployssystematic, computer-driven trading strategies across multiple liquid asset classes, includingequities, futures and foreign exchange. The core of our effort is rigorous research into a widerange of market anomalies, fueled by our unparalleled access to a wide range of publiclyavailable data sources.
Role:
Experienced quantitative developer who will be one of the senior leads of the newly formed
Central Research Technology team, which builds strategic solutions for research and live trading
of quantitative strategies across multiple frequencies and products

This is a unique opportunity
to design and build the next generation of research and quant trading systems.
Role/Responsibilities:
Building a robust, scalable research infrastructure, including alpha estimation and risk
modeling components
Developing a seamless but modular platform to handle all aspects of quant trading -
model building, optimization, and trade execution
Building high-performance/low-latency modular systems for live trading and simulation
Developing robust data checking, transformation and storage procedures
Building visualization tools and monitors for market/trade/position/risk
Maintenance and troubleshooting of trading systems
Requirements:
- 5+ years of professional software engineering experience in a collaborative environment
- Understanding of object oriented programming, design patterns, data structures and
dependency graphs
- Experience with the software delivery lifecycle and production deployment
- Fluency in Python (and its ecosystem) for data analytics, research and production usage
- Experience with C++
- Experience working with streaming and historical time series data, including a variety of
messaging systems and databases
- Experience developing distributed backtesting, simulation, and real time systems
- Experience with automated reporting, monitoring, and visualization
- Experience in Finance is a strong advantage, but not an absolute requirement
- Reasonable quantitative and statistical skills
- Team player with strong pride of ownership

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