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Python Quantitative Algorithmic Trading Jobs in Ashburn, VA

Amicis Global

Quantitative Analyst

Washington, DC · On-site

Job Title: Quantitative Analyst Location: Onsite, Washington, DC (1100 15th Street NW) Schedule ... Python . * Hands-on experience with C++ . * Solid knowledge of capital markets products (trading ...

Jobtailor

Senior Data Scientist

Rockville, MD · On-site

$150 - $190/hr

... algorithms and platforms * Apply cutting-edge techniques in statistical analysis, predictive ... Work with diverse data types and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM ...

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

... algorithms. * Ability to translate complex, technical, or analytic findings into an easily ... Uses analytical software to support quantitative and analytic efforts and workforce planning ...

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All JobsPython Quantitative Algorithmic Trading JobsPython Quantitative Algorithmic Trading Jobs in Ashburn, VA

Python Quantitative Algorithmic Trading information

See Ashburn, VA salary details

$100.2K

$173.6K

$265.4K

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

As of Aug 10, 2026, the average yearly pay for python quantitative algorithmic trading in Ashburn, VA is $173,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $203,500.00 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.
What are popular job titles related to Python Quantitative Algorithmic Trading jobs in Ashburn, VA? For Python Quantitative Algorithmic Trading jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Python Quantitative Algorithmic Trading jobs in Ashburn, VA look for? The top searched job categories for Python Quantitative Algorithmic Trading jobs in Ashburn, VA are:
Python Quantitative Algorithmic Trading jobs near you
Infographic showing various Python Quantitative Algorithmic Trading job openings in Ashburn, VA as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 5% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $173,565 per year, or $83.4 per hour.

Quantitative Analyst

Amicis Global

Washington, DC • On-site

Contractor

Re-posted 27 days ago

Job description

Job Title:  Quantitative Analyst
Location: Onsite, Washington, DC (1100 15th Street NW)
Schedule: Full-time, 40 hours per week (8 hours per day)
Duration: 12-month contract (with possible extension)
 

Senior Analyst – Financial and IT Modeling & Analytics

Position Overview:

We are seeking a highly skilled Quantitative Analyst and Tester to join the Financial and IT Modeling & Analytics team. This role will support capital markets trading and market risk management by translating business requirements into technical specifications and executing rigorous testing for statistical modeling and analytical applications.

The ideal candidate has a strong background in capital markets products, advanced programming expertise, and the ability to thrive in an Agile environment.

Key Responsibilities:

  • Translate complex business requirements from trading and market risk management into clear system specifications and testing needs.

  • Design, develop, and execute test cases for statistical modeling and analytical software applications.

  • Collaborate closely with quantitative engineers to investigate and resolve test case failures.

  • Track project progress and report updates using Agile methodologies and tools.

Required Skills & Experience:

  • 5+ years of professional experience in financial modeling, IT analytics, or quantitative testing.

  • Strong programming proficiency in Python.

  • Hands-on experience with C++.

  • Solid knowledge of capital markets products (trading, risk management, derivatives, etc.).

  • Ability to work effectively in a collaborative, Agile environment.