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Quantitative Trading Jobs (NOW HIRING)

Hex Trust

Quantitative Trader

Create algorithmic trading tools to automate and improve trade execution processes. * Use ... Proven track record in quantitative trading and client execution within crypto or similar financial ...

Quanta Search

Quantitative Trader

Chicago, IL

Our client is a diversified trading firm with over 3 decades of experience bringing sophisticated ... The team is responsible for the complete lifecycle of quantitative investment process, research ...

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$169.7K

$259.5K

How much do quantitative trading jobs pay per year?

As of Jun 6, 2026, the average yearly pay for quantitative trading 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 are the key skills and qualifications needed to thrive as a Quantitative Trader, and why are they important?

To thrive as a Quantitative Trader, you need a strong background in mathematics, statistics, and financial theory, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in programming languages like Python, C++, and R, as well as familiarity with trading platforms and statistical analysis tools, is essential. Critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These skills are crucial for developing, testing, and executing profitable trading strategies in fast-moving financial markets.

What is the difference between Quantitative Trading vs Quantitative Research?

AspectQuantitative TradingQuantitative Research
Primary FocusDeveloping and executing trading strategies to generate profitsCreating models and theories to understand markets and inform trading
Work EnvironmentFast-paced, real-time decision making in trading firms or hedge fundsResearch-oriented, often academic or laboratory setting
Required CredentialsStrong quantitative skills, programming, finance knowledge; often degrees in math, finance, or engineeringAdvanced degrees (Masters/PhD) in math, physics, or related fields; research experience

Quantitative Trading focuses on applying quantitative models to make trading decisions and generate profits in real-time markets. Quantitative Research emphasizes developing and testing models to understand market behavior, often serving as a foundation for trading strategies. While both roles require strong quantitative skills and programming, trading roles are more execution-focused, whereas research roles are more theoretical and exploratory.

What is quantitative trading?

Quantitative trading refers to the use of mathematical models, algorithms, and statistical techniques to identify and execute trading opportunities in financial markets. Quantitative traders, often called 'quants,' analyze large datasets to develop strategies that can be automated for buying and selling securities. This approach relies heavily on computer programming, data analysis, and financial theory to make systematic, data-driven trading decisions. Quantitative trading is commonly used by hedge funds, investment banks, and proprietary trading firms to gain an edge in the markets.

How does a quantitative trader typically collaborate with software engineers and data scientists within a trading firm?

Quantitative traders work closely with software engineers and data scientists to develop, test, and optimize trading algorithms. Traders often define the strategy and specify the data requirements, while engineers build and maintain the trading infrastructure, and data scientists assist with advanced statistical analysis and machine learning models. Effective communication and a collaborative approach are crucial, as these teams must integrate their expertise to ensure strategies are both profitable and technically robust. Regular meetings, code reviews, and joint problem-solving sessions are common practices in this collaborative environment.
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Quantitative Trading jobs near you
Quantitative Trading & Research - Credit Portfolio - Associate

Quantitative Trading & Research - Credit Portfolio - Associate

JPMorgan Chase & Co

Manhattan, NY • On-site

Full-time

Medical, Retirement

Posted 11 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

The Quantitative Trading & Research Portfolio team specializes in building data-driven, AI-powered tools that empower traders to act quickly and manage risk more effectively. Operating at the intersection of machine learning, real-time data analysis, and quantitative finance, the team transforms complex data into actionable insights with immediate impact on trading and risk management.

Job Summary:

As an Associate in the Quantitative Trading & Research Portfolio team Data Strategist, you will build data driven, AI-powered tools to help our traders act faster and manage risk smarter. You'll work at the intersection of machine learning, real-time data analysis and quantitative finance to turn complex data into clear, actionable insights.  Your work will have immediate, visible impact on how we trade and manage risk.

Job responsibilities:

  • Design, build, and deploy AI agentic workflows to enhance risk monitoring, signal generation, and control processes for the trading desk.
  • Develop real-time data pipelines integrating market and reference data to power intraday risk analytics and scenario analysis.
  • Implement machine learning models for risk forecasting, anomaly detection, market pattern identification and liquidity estimation.
  • Create intuitive applications and dashboards that deliver actionable risk insights to traders and risk partners.
  • Collaborate with traders, quantitative researchers, risk teams, and technologists to translate business needs into resilient, well-documented solutions.

Required qualifications, capabilities, and skills:

  • Advanced degree in a quantitative field (Computer Science, Engineering, Mathematics, Physics, Statistics, or Financial Engineering), or 3 years of experience in quantitative research, data analytics, or a related technical role.

  • Hands-on experience in data analytics and machine learning; exposure to multi-agent AI workflow is a plus.
  • Strong programming skills with proficiency in numerical and machine learning libraries.
  • Strong analytical and problem-solving skills, with the ability to communicate complex ideas clearly to business partners.

Preferred qualifications, capabilities, and skills:

  • Familiarity with trading concepts, hedging, and risk measures.
  • Experience with real-time systems, event streaming, or time-series data.
  • Experience with UI design and visualization tools.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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