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Python Quantitative Algorithmic Trading Jobs in Virginia

... ready algorithms and platforms. * Apply cutting‑edge techniques in statistical analysis ... Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Software ...

Senior Data Scientist

Alexandria, VA · Hybrid

$131K - $237K/yr

Proficiency in Python and at least one other scripting language. * Demonstrated experience ... Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object ...

... quantitative methods, develop visualizations to support decision making, and build software to ... Build web scraping algorithms for imagery curation in accordance with customer data priorities

... data models, quantitative analyses, and visualization of targeted data sources • Knowledge of ... development of algorithms leveraging R, Python, or SQL/NoSQL • 2+ years of experience with ...

Showing results 41-60

Python Quantitative Algorithmic Trading information

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 Virginia? For Python Quantitative Algorithmic Trading jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Python Quantitative Algorithmic Trading jobs in Virginia look for? The top searched job categories for Python Quantitative Algorithmic Trading jobs in Virginia are:
What cities in Virginia are hiring for Python Quantitative Algorithmic Trading jobs? Cities in Virginia with the most Python Quantitative Algorithmic Trading job openings:
Infographic showing various Python Quantitative Algorithmic Trading job openings in Virginia as of August 2026, with employment types broken down into 2% Internship, 88% Full Time, 4% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Contingent Senior Data Scientist - Top Secret

Sunayu, LLC

Alexandria, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Category: Data Science
Travel Required:No
Remote Type: No


**Position is contingent upon contract award**

Sunayu, LLC is looking for a Data Scientist to lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications.


    • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
    • Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
    • Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms.
    • Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.


    Basic Requirements:

    • Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree.
    • 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master's).
    • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
    • Proficiency in Python and at least one other scripting language.
    • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
    • Track record of creative problem solving, active learning, and mission-focused outcomes.
    • Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift).


    Preferred Qualifications:

    • Experience supporting military or intelligence community customers.
    • Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
    • Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
    • Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
    • Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.


      ----------------------------------------------------------


      Who We Are

      Sunayu, LLC serves as a premier technology partner to the Defense and Intelligence communities, delivering mission-critical engineering solutions across the nation. Our operations are anchored in a commitment to trust, accountability, and ethical transparency, ensuring the high-performance outcomes necessary to protect our country's most vital interests.


      Culture

      Our strength lies in our community:Our team prioritizes collaboration, professional growth, and encourages open communication. At Sunayu, we don't just secure the mission-we grow together.


      Career Development

      We support and encourage our team members to continue their professional growth by providing company-reimbursed training and continuing education of up to $5,000 per year. We also participate in many industry conferences and events where we share our expertise and experiences.


      Pay Rate

      Salary range considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills, as well as market and business considerations when extending an offer.


      Benefits

      • 3 Medical Plan Options
      • Dental and Vision
      • FSA, DCFSA, HSA
      • Life/AD&D Insurance
      • Short-Term & Long-Term Disability
      • Employee Assistance Program (EAP)
      • Training and Educational Assistance
      • Paid Time Off (PTO)
      • 11 Federal holidays
      • 401k plan with up to a 6% match (100% immediate vesting)


      Equal Opportunity Employer

      Sunayu, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability status, marital status, genetic information, medical condition, or any other characteristic protected by law.