ZipRecruiter

Log In

1

Python Quantitative Algorithmic Trading Jobs (NOW HIRING)

Omaze

Algorithmic Trading Senior Manager

Jersey City, NJ · On-site

$156 - $204.75/hr

Reporting to the Market Making Senior Director of Quants & Algorithmic Trading, this leader will be ... Strong programming ability in Python, C++, Java, Golang, or similar languages for production ...

Eagle Seven

Algorithmic Trader

Chicago, IL

Strong analytical, quantitative, and math skills * Experience with Python required * Ability to ... trading desk Benefits Eagle Seven offers a competitive and comprehensive benefits package to all ...

Eagle Seven

Algorithmic Trader

Chicago, IL · On-site

Strong analytical, quantitative, and math skills * Experience with Python required * Ability to ... trading desk Benefits Eagle Seven offers a competitive and comprehensive benefits package to all ...

next page

Showing results 1-20

All JobsTechnology JobsSoftware JobsSoftware Developer JobsPython Quantitative Algorithmic Trading Jobs

Python Quantitative Algorithmic Trading information

See salary details

$98K

$169.7K

$259.5K

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

As of Aug 31, 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 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.

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 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.

More about Python Quantitative Algorithmic Trading jobs

What cities are hiring for Python Quantitative Algorithmic Trading jobs?

Cities with the most Python Quantitative Algorithmic Trading job openings:

What states have the most Python Quantitative Algorithmic Trading jobs?

States with the most job openings for Python Quantitative Algorithmic Trading jobs include:

What job categories do people searching Python Quantitative Algorithmic Trading jobs look for?

The top searched job categories for Python Quantitative Algorithmic Trading jobs are:

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 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Algorithmic Trading Analyst

Stamford, CT • On-site

Bestex Research
Finance and Insurance • 11 - 50 employees
Learn more about Bestex Researchexternal

Full-time

Posted 4 days ago

Job description

BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.

Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including Transaction Cost Analysis (TCA), Strategy Studio for algorithm customization, trading dashboards, and pre-trade analytics in a single platform. The platform is currently live across U.S., European, and Canadian equities and global futures markets.

BestEx Research is transforming a $100 billion industry by replacing traditional black-box execution with transparent, data-driven, and customizable algorithmic trading solutions. Our technology stack combines high-performance C++, Python, R, cloud infrastructure, and advanced quantitative research to build next-generation trading systems.

Our mission is to become the global leader in execution analytics and algorithmic trading while helping clients significantly reduce transaction costs across asset classes. Visit our website https://www.bestexresearch.com/ to learn more about our products, research, and mission.

Requirements

Description

We are seeking highly motivated and detail-oriented entry-level candidates to join our Stamford, CT team as Algorithmic Trading Analysts. This role is a foundational position within our electronic trading organization, designed for candidates who want to build deep expertise at the intersection of market structure, algorithmic execution, trading technology, and software development.

In this role, you will work closely on a variety of projects alongside our trading desk, quant and engineering teams to build and improve various aspects of our global multi-asset algorithmic trading platform. 

Over time, you will have the opportunity to build expertise in one of several different front office roles focused on quant research, product management or client coverage. 

Specifically, You Will:
  • Develop a strong working knowledge of market structure and electronic trading behavior in several asset classes and regions.
  • Learn how algorithmic execution strategies, routing logic, and trading systems underneath them actually work. 
  • Learn to evaluate algorithm performance across clients and strategies using statistical analysis and data visualization.
  • Gain experience testing and supporting our trading product.
  • Build fluency in product planning, prioritization, and cross-functional communication across trading, technology, and client teams
  • Develop communication and presentation skills for internal and client-facing interactions.
  • Develop working knowledge of Global Equities and Futures market structure, and how electronic trading behavior differs across regions and asset classes
Requirements
  • Bachelor’s, Masters or PhD in Computer Science, Engineering, Finance, Quantitative Finance, Mathematics, Statistics, Data Science or a related quantitative discipline
    Strong foundation in probability, statistics and data analysis.
  • Strong analytical mindset and problem-solving skills with high attention to details
  • Working knowledge of Python/R and SQL
  • Excellent written and verbal communication skills
  • Collaborative, proactive attitude with a strong sense of ownership and desire to learn in a fast-paced trading environment
  • Willingness to work in person daily in our office in Stamford, CT