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Python Quantitative Algorithmic Trading Jobs (NOW HIRING)

Virtu Financial

Quantitative Trader

Chicago, IL · On-site

$150K - $200K/yr

... algorithmic trading strategies deployed on electronic trading venues around the world. During an ... Programming experience is required (Python, SQL, Java or C++ are a plus). * The ability to ...

Virtu Financial

Quantitative Trader

Chicago, IL

$150K - $200K/yr

... algorithmic trading strategies deployed on electronic trading venues around the world. During an ... Programming experience is required (Python, SQL, Java or C++ are a plus). * The ability to ...

Umbrex

Hedge Fund Quant Analyst - Umbrex

Manhattan, NY · On-site

$100 - $125/hr

They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced ... Deep understanding of alpha capture and algorithmic trading strategies. * Proficiency in Python ...

Simplex Trading

Algorithmic Trader

Chicago, IL · On-site

$150K - $200K/yr

People, Process, Trading Edge, and Technology. Simplex is an in-office organization, helping to ... Proficiency with Python and/or R for research, data analysis, and statistical modeling * Experience ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk ... Python or a similar language is preferred. - Prior internship, research, trading competition, or ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk ... Python or a similar language is preferred. - Prior internship, research, trading competition, or ...

TransMarket Group

Junior Algorithmic Trader

Chicago, IL

$69K - $89K/yr

Description Our Algorithmic Traders use their expert understanding of the financial markets and ... Python) * Build and maintain trading quantitative model tools and analytics * Develop, code ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk ... Python or a similar language is preferred. - Prior internship, research, trading competition, or ...

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Python Quantitative Algorithmic Trading information

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$98K

$169.7K

$259.5K

How much do python quantitative algorithmic trading jobs pay per year?

As of Aug 11, 2026, the average yearly pay for python quantitative algorithmic 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 is the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Python quantitative algorithmic trader?

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.
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Python Quantitative Algorithmic Trading jobs near you
Infographic showing various Python Quantitative Algorithmic Trading job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 87% Full Time, 3% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Trading & Research - e-Trading - Executive Director

JPMorgan Chase & Co

Manhattan, NY • On-site

Full-time

Medical, Retirement

Re-posted 6 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

The Quantitative Trading & Research (QTR) eTrading team designs and delivers quantitative analytics, models, and tools that improve electronic execution outcomes for clients globally.

Job Summary

As an Executive Director in QTR eTrading, you will be aligned closely with product team, you will lead execution research and transaction cost analysis (TCA) that directly informs the electronic trading product roadmap for both single-stock and portfolio trading. You will partner with Electronic Client Solutions, Coverage, and Technology to translate research into scalable, measurable platform enhancements and client solutions.

Job Responsibilities

Product strategy & roadmap influence

  • Partner with Electronic Client Solutions to define and prioritize the algorithm roadmap using data-driven insights, client needs, competitive context, and measurable outcomes.

  • Develop a clear product analytics narrative (KPIs, benchmarks, adoption/usage, performance attribution) to support senior decision-making and investment cases.

  • Translate client requirements into quantitative problem statements and implementable product specifications.

Execution measurement & TCA leadership

  • Build, enhance, and govern TCA frameworks (benchmarks, market impact curves, peer/venue comparisons) calibrated on historical order, execution, and market data.

  • Diagnose execution performance drivers (order size/urgency, liquidity, volatility, venue choice, algo selection, time-of-day effects) and convert findings into product recommendations.

  • Establish monitoring, alerting, and post-release performance measurement for algorithm changes and new features.

Research, experimentation & model development

  • Conduct market microstructure research (venue structure, auctions, fee schedules, order types, dark vs. lit dynamics) and quantify the impact on execution outcomes and product design.

  • Design and run empirical studies and controlled experiments (A/B tests) to evaluate routing, scheduling, and parameter changes; define success metrics and ensure robust statistical conclusions.

  • Contribute to pre-trade and post-trade models that support strategy selection and parameterization, including regime-aware analysis where relevant.

Cross-functional delivery & stakeholder management

  • Collaborate with Technology and Algo Development to industrialize research into production-ready capabilities, including documentation, controls, and model/feature governance.

  • Create client-facing content (methodology papers, execution strategy notes, performance reviews) and support client and internal stakeholder discussions with clear, defensible analytics.

Required Qualifications, Capabilities, and Skills

  • Master's degree in a STEM field (Computer Science, Engineering, Mathematics/Statistics, Physics) or equivalent practical experience.

  • 8+ years of relevant experience in quantitative execution research, TCA, algorithmic trading, or closely related electronic trading analytics roles.

  • Demonstrated expertise in TCA modeling and execution quality measurement relevant to algorithmic execution strategies.

  • Strong programming skills in kdb+/q and Python, with experience working with large-scale trading and market datasets.

  • Proven ability to partner effectively with Product, Trading, and Technology to move from research findings to shipped capabilities and measurable performance improvements.

  • Strong analytical, quantitative, and problem-solving skills, with excellent written and verbal communication.

Preferred Qualifications, Capabilities, and Skills

  • PhD in a STEM field or a strong independent research track record.

  • 10+ years of relevant experience.

  • Experience with stochastic control and/or numerical optimization techniques applied to single-stock and/or portfolio execution.

  • Experience with AWS and/or modern data processing technologies used for research-to-production workflows.

  • Deep knowledge of cash equities market structure and microstructure across major regions.

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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