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Python Quantitative Algorithmic Trading Jobs in Baldwinsville, NY

Evaluate trade studies, system architectures, algorithms, system requirements, and design ... Perform system simulations, modeling, and data analysis (via MATLAB and/or Python) to identify ...

Evaluate trade studies, system architectures, algorithms, system requirements, and design ... Perform system simulations, modeling, and data analysis (via MATLAB and/or Python) to identify ...

Evaluate trade studies, system architectures, algorithms, system requirements, and design ... Perform system simulations, modeling, and data analysis (via MATLAB and/or Python) to identify ...

Python Quantitative Algorithmic Trading information

See Baldwinsville, NY salary details

$96.2K

$166.7K

$254.8K

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

As of Sep 1, 2026, the average yearly pay for python quantitative algorithmic trading in Baldwinsville, NY is $166,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $195,400.00 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.

What are popular job titles related to Python Quantitative Algorithmic Trading jobs in Baldwinsville, NY?

For Python Quantitative Algorithmic Trading jobs in Baldwinsville, NY, the most frequently searched job titles are:

What cities near Baldwinsville, NY are hiring for Python Quantitative Algorithmic Trading jobs?

Cities near Baldwinsville, NY with the most Python Quantitative Algorithmic Trading job openings:

Infographic showing various Python Quantitative Algorithmic Trading job openings in Baldwinsville, NY as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $166,678 per year, or $80.1 per hour.

Principal Systems Test Engineer

SRC, Inc

Syracuse, NY

$155K - $165K/yr

Full-time

Retirement, PTO

Re-posted 6 days ago


Job description

SRCTec LLC, is seeking a Principal Systems Test Engineer. As a Principal Systems Test Engineer, you will play an integral role in the production, test, and sustainment for radar, CUAS, and electronic warfare systems as part of Advanced Manufacturing. You will work closely with experienced engineers and guide junior engineers to develop and sustain accurate, repeatable, and stable manufacturing test capabilities. You will collaborate with diverse, cross-functional teams of hardware, software, and manufacturing, and product engineers and stay at the cutting-edge of electronics manufacturing. 

What You’ll Do 

  • Design test strategies, test architectures, and test plans that ensure repeatability and robustness, driven from, and in alignment with, system requirements
  • Leverage strong proficiency in statistical analysis and data modeling to interpret test results, identify root causes, quantify variation, and validate performance margins. This includes familiarity with DOE, regression, multivariate analysis, and statistical process control
  • Use capability in measurement system analysis (MSA), including GR&R, calibration strategy, uncertainty quantification, and sensor/instrument selection to maximize test coverage and performance
  • Interpret specification flow-downs and trace system performance requirements to measurable, testable parameters for manufacturing tests, including a translation of how subsystem behavior, component tolerances, and environmental factors influence end‑to‑end system performance
  • Develop system and subsystem test procedures while ensuring subsystem test coverage minimizes system level failures
  • Evaluate trade studies, system architectures, algorithms, system requirements, and design specifications to improve product and process accuracy, repeatability, and yield
  • Troubleshoot system‑level issues using advanced root‑cause analysis techniques; drive corrective actions across engineering and manufacturing teams
  • Perform system simulations, modeling, and data analysis (via MATLAB and/or Python) to identify product and process improvement opportunities
  • Develop production test software using NI LabVIEW, TestStand, and Python
  • Maintain knowledge of and proficiency with the latest systems engineering technologies and tools
  • Provide technical leadership and mentorship to junior engineers, fostering their growth and development in production systems engineering

What You’ll Bring  

  • Bachelor's degree in Electrical Engineering, Systems Engineering, or related technical field; Master's degree preferred
  • 12+ years of experience in system-level testing, integration, and/or verification within aerospace, defense, or other highly regulated industries
  • Deep understanding of systems engineering principles and a corresponding ability to develop test strategies for complex RF products
  • Hands-on experience with automated test systems, data analysis, system debug, and performance optimization
  • Familiarity with model-based systems engineering, digital threads, and digital test environments 
  • Ability to work collaboratively in a cross-functional team environment, with excellent written and verbal communication skills
  • Some travel (<10%) may be required to provide support for field tests, demonstrations, and customer meetings

What Sets Us Apart?
SRC, Inc., a not-for-profit research and development company, combines information, science, technology and ingenuity to solve “impossible” problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible®. When you join our team, you’ll be a part of something truly meaningful — helping to keep America and its allies safe and strong. You’ll collaborate with more than 1,400 engineers, scientists and professionals — with 20 percent of those employees who have served in the military — in a highly innovative, inclusive and equitable work environment. You’ll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support.

Total compensation for this role is market competitive. The anticipated salary range for this position based out of Syracuse, NY is estimated at $155,000 to $165,000 annually. The actual salary will vary based on applicant’s experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website.