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Python Quantitative Algorithmic Trading Jobs in Irwin, IL

Python Quantitative Algorithmic Trading information

See Irwin, IL salary details

$93.4K

$161.8K

$247.4K

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 Irwin, IL is $161,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,200.00 and $189,700.00 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 cities near Irwin, IL are hiring for Python Quantitative Algorithmic Trading jobs? Cities near Irwin, IL with the most Python Quantitative Algorithmic Trading job openings:
Infographic showing various Python Quantitative Algorithmic Trading job openings in Irwin, IL as of August 2026, with employment types broken down into 3% Internship, 86% Full Time, 3% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $161,794 per year, or $77.8 per hour.

Postdoc: Millimeter-Wave Cloud Radar Remote Sensing

Jet Propulsion Laboratory

Campus, IL • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Job Details

New ideas are all around us, but only a few will change the world. That's our focus at JPL. We ask the biggest questions, then search the universe for answers-literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission-your opportunity-is to seek out the answers that bring us one step closer. If you're driven to discover, create, and inspire something that lasts a lifetime and beyond, you're ready for JPL.

Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.

The postdoc will develop and apply advanced retrieval algorithms to improve the understanding of cloud microphysical properties using ground-based, airborne, and future spaceborne radar observations. Research will include the application of Bayesian inverse methods, cloud microphysics modeling, and quantitative analysis of large atmospheric datasets to advance remote sensing capabilities and support next-generation Earth science missions.

The successful candidate will also participate in the analysis of observations from field campaigns, including the North American Upstream Feature-Resolving and Tropopause Uncertainty Reconnaissance Experiment(NURTURE) and Clouds And Precipitation Experiment at kennaook (CAPE-k) campaigns, and help prepare the scientific foundation for future multi-frequency cloud radar missions.

Responsibilities

  • Conduct research in cloud microphysics and atmospheric remote sensing.

  • Develop and implement retrieval algorithms for millimeter-wave cloud radar observations using Bayesian inverse methods.

  • Analyze G-band CloudCube and other multi-frequency cloud radar datasets.

  • Process, analyze, and interpret large atmospheric and remote sensing datasets using Python and scientific computing tools.

  • Publish research results in peer-reviewed journals and present results at scientific conferences.

  • Collaborate with multidisciplinary teams to advance future radar remote sensing technologies.

Required Qualifications

  • Ph.D. in Atmospheric Science, Earth Science, Remote Sensing, or a closely related field.

  • Research experience in atmospheric physics, cloud microphysics, or radar remote sensing.

  • Experience developing or applying remote sensing retrieval algorithms.

  • Proficiency in Python and scientific data analysis.

  • Experience working with large observational or model datasets.

  • Demonstrated record of peer-reviewed scientific publications.

The appointee will carry out research in collaboration withJPL advisor,resulting in publications in the open literature.

Applicants may be subject to additional program requirementsby NASA. Postdoc positions are awarded for a minimum of one-year periodandmay be renewed up to a maximum of three years. Candidates should submit the following to this site: CV, representative publications, contact information for three references,anda cover letter stating their research accomplishmentsandinterests.

JPL has a catalog of benefits and perks that span from the traditional to the unique. This includes a variety of health, dental, vision, wellbeing, and retirement plans, paid time off, learning, rideshare, childcare, flexible schedule, parental leave and many more. Our focus is on work-life balance, and living healthy, fulfilling lives as we Dare Mighty Things Together. For benefits eligible positions, benefits are effective the first day of the month coincident with or immediately following the employee's start date.

For further benefits information click Benefits and Perks

The hiring range displayed below is specifically for those who will work in or reside in the location listed. In extending an offer, Jet Propulsion Laboratory considers factors including, but not limited to, the candidate's job related skills, experience, knowledge, and relevant education/training.

The typical full time equivalent annual hiring range for this job in Pasadena, California.

$83,820 - $83,820

JPL is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, citizenship, ancestry, age, marital status, physical or mental disability, medical condition, genetic information, pregnancy or perceived pregnancy, gender, gender identity, gender expression, sexual orientation, protected military or veteran status or any other characteristic or condition protected by Federal, state or local law.

In addition, JPL is a VEVRAA Federal Contractor.

EEO is the Law.

EEO is the Law Supplement

Pay Transparency Nondiscrimination Provision

The Jet Propulsion Laboratory is a federal facility. Due to rules imposed by NASA, JPL will not accept applications from citizens of designated countries or those born in a designated country unless they are U.S. Citizens, Legal Permanent Residents of the U.S or have other protected status under 8 U.S.C. 1324b(a)(3). The Designated Countries List is available here.