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Physics Simulation Python Jobs in Illinois (NOW HIRING)

IMC B.V.

Quantitative Trader Intern - Summer 2027

Chicago, IL · On-site

$225 - $275/hr

... simulations * Team up with traders and technologists to work on real projects that have potential ... Mathematics, Physics, Computer Science, or Economics) * Strong analytical skills * Desire to learn ...

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Koch Industries

CAE Engineer

Lisle, IL · On-site

$80K - $140K/yr

Proficiency in Python scripting for data processing, automation, or simulation integration. * Good ... Familiarity with machine learning and deep learning techniques, including physics-informed neural ...

P2P

Campus Software Engineer (Full-Time)

Chicago, IL · On-site

$225 - $275/hr

We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... Python development on Linux platform * Strong understanding of data structures and threading models

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Physics Simulation Python information

What is a physics simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.

What are the key skills and qualifications needed to thrive as a physics simulation Python developer?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in physics simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

What are popular job titles related to Physics Simulation Python jobs in Illinois?

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Physics Simulation Python jobs near you

Quantitative Risk Intern - Summer 2027

DV Trading

Chicago, IL

$35 - $40/hr

Temporary, Internship

Posted 16 days ago

Job description

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.
Responsibilities:

  • Build and execute advanced quantitative risk monitoring using results from above exercise, including design, collection and analysis of key risk metrics in collaboration with multiple stakeholders to influence business strategy.
  • Utilize advanced quantitative analytics to assess future risk, opportunities, and effectiveness and translate results into meaningful solutions to enhance decision making.
  • Contribute to strategic, cross-functional initiatives within the Quantitative Risk Management team.
  • Present results of the reviews performed to the Executive Management Team.

Requirements:

  • Pursuing a degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field
  • Expecting to graduate between Winter 2027 and Summer 2028
  • Proficient to advanced knowledge of statistical modeling and other quantitative techniques including, but not limited to linear & non-linear regression, optimization, simulation, time-series analysis, probability theory, survival analysis, value-at-risk, PCA, and GARCH
  • Basic proficiency in Python and SQL is required
  • Ability to communicate complex concepts and findings in a clear and concise manner.

Preferred Skills:

  • Knowledge of option pricing and fixed income analytics
  • Advanced proficiency in Python
  • A working knowledge of Python SciPy & statsmodels, R, C/C++/C#, SAS, and/or Matlab
  • Knowledge of enterprise risk management and internal control standards, especially within the financial services industry
  • Proficiency in data management and reporting tools strongly desired (Essbase, Word, Excel, Power Point, Access)

Compensation range: $35.00-$40.00/hr

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.