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Quantitative Trading Strategist Jobs (NOW HIRING)

The Voleon Group

Quantitative Trading Strategist

Berkeley, CA · On-site

$148K - $191K/yr

As a QTS, you will use deep markets knowledge alongside quantitative skills to improve the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities ...

Trading Interview

$89K - $115K/yr

Our platform integrates quantitative research, trading strategy development, and production engineering within a collaborative, non-siloed environment across trading, research, and development teams.

CFA Institute

Quantitative Trading Analyst

Boston, MA · On-site

Which execution strategy should be used? * When should an order be executed? * How much should we ... Quantitative Trading Research Conduct empirical research on trading behavior, market microstructure ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and implemented. The team is ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and implemented. The team is ...

Australia-Employment

Quantitative Trader

Manhattan, NY · On-site

$300K/yr

Work directly on proprietary quantitative trading models and strategies * Increasing trading responsibility based on demonstrated ability * Solve challenging mathematical and quantitative problems in ...

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How much do quantitative trading strategist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for quantitative trading 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 a quantitative trading strategist?

A Quantitative Trading Strategist is a finance professional who uses mathematical models, statistical analysis, and computer algorithms to develop trading strategies for financial markets. They analyze large datasets to identify patterns, backtest trading ideas, and optimize portfolios for risk and return. These strategists often work closely with software engineers and traders to implement and refine automated trading systems. Their goal is to create data-driven solutions that maximize profits and reduce risks for investment firms or hedge funds.

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

To excel as a Quantitative Trading Strategist, you need strong quantitative and analytical skills, advanced knowledge of mathematics or statistics, and typically a degree in a quantitative field such as finance, physics, engineering, or computer science. Expertise in programming languages like Python, R, or C++, familiarity with statistical modeling software, and experience with trading platforms are commonly required. Critical thinking, attention to detail, and effective communication are essential soft skills for collaborating with teams and interpreting complex data. These abilities are crucial for developing profitable trading strategies, managing risk, and thriving in the fast-paced financial markets.

How do quantitative trading strategists typically collaborate with software engineers and data scientists in their daily work?

Quantitative Trading Strategists work closely with software engineers and data scientists to develop, implement, and refine trading algorithms. While strategists focus on designing and backtesting quantitative models, they rely on software engineers to optimize code for speed and reliability in live trading environments, and on data scientists for sourcing, cleaning, and analyzing large datasets. Effective collaboration often involves regular meetings, code reviews, and shared research, ensuring that strategies are both theoretically sound and practically viable. This teamwork helps accelerate innovation and maintain a competitive edge in the fast-paced trading industry.
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Quantitative Trading Strategist jobs near you
Infographic showing various Quantitative Trading Strategist job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 82% Full Time, 15% Part Time, and 1% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution, with an average salary of $139,867 per year, or $67.2 per hour.

Quantitative Trading Strategist

Berkeley, CA • On-site

The Voleon Group
Investment Management and Consulting Services • 11 - 50 employees
Learn more about The Voleon Groupexternal

$148K - $191K/yr

Other

Re-posted 16 days ago

Job description

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

As a QTS, you will use deep markets knowledge alongside quantitative skills to improve the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor.

Responsibilities
  • Measure and improve algorithmic execution quality across asset classes
  • Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams
  • Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications
  • Collaborate with trading and RnD team members to improve our trading strategies
  • Provide domain expertise in market microstructure across asset classes to other members of trading and RnD
  • Manage relationships with external brokers and trading partners
Requirements
  • 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research
  • Bachelor’s degree in a scientific or quantitative discipline
  • Highly capable in python, R, and SQL; with the ability to write production level code and develop across teams
  • Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data
  • Comprehensive understanding of market micro-structure and a passion for markets
  • Ability to effectively communicate across teams and present research findings in a clear and concise manner
Equal Opportunity Employer

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Voleon Group

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

11 - 50 Employees

Headquarters location

Berkeley, CA, US

Year founded

2007

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