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Internship Wet Process Engineer Jobs in Illinois

Process Engineering Intern: Contributed to the startup activities of a new chemical process ... Evonik's Internship Program, click here: There is no better time than right now to build your ...

Summary Title: R&D Process Development Engineer Location: Chicago, IL Compensation: Competitive ... Demonstrated self-direction - clear evidence you've owned something end to end (an internship or ...

Summary Title: R&D Process Development Engineer Location: Chicago, IL  Compensation: Competitive ... Demonstrated self-direction -- clear evidence you've owned something end to end (an internship or ...

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Internship Wet Process Engineer information

What is the difference between Internship Wet Process Engineer vs Wet Process Engineer?

AspectInternship Wet Process EngineerWet Process Engineer
CredentialsEnrolled in or recent graduate of relevant engineering programBachelor's degree in chemical or process engineering, certifications preferred
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time professional role, responsible for process optimization
Industry UsageOften part of training programs in chemical manufacturing plantsRegularly employed in chemical, petrochemical, or manufacturing industries

The main difference is that an Internship Wet Process Engineer is a temporary, entry-level position for students or recent graduates gaining industry experience, while a Wet Process Engineer is a full-time professional responsible for managing and optimizing wet processing operations in industry settings.

What are the most commonly searched types of Wet Process Engineer jobs in Illinois?

The most popular types of Wet Process Engineer jobs in Illinois are:

What job categories do people searching Internship Wet Process Engineer jobs in Illinois look for?

The top searched job categories for Internship Wet Process Engineer jobs in Illinois are:

What cities in Illinois are hiring for Internship Wet Process Engineer jobs?

Cities in Illinois with the most Internship Wet Process Engineer job openings:

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL • On-site

Internship

Posted 28 days ago


Job description

The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science