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Statistical Analysis Intern Jobs in Addison, IL (NOW HIRING)

Optiver

Quantitative Research Intern (PhD)

Chicago, IL · On-site

$80K - $90K/yr

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure, and financial ...

Optiver

Quantitative Research Intern PhD

Chicago, IL · On-site

$80K - $90K/yr

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure, and financial ...

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Statistical Analysis Intern information

What does a statistical analysis intern do?

A Statistical Analysis Intern assists with collecting, organizing, and analyzing data to support business or research objectives. They use statistical techniques to identify trends, patterns, and insights within datasets, often using software such as Excel, R, or Python. Interns may also help prepare reports, visualizations, and presentations based on their findings. This role provides practical experience in applying statistical methods and interpreting results under the guidance of experienced analysts or statisticians.

What are the key skills and qualifications needed to thrive as a statistical analysis intern?

To thrive as a Statistical Analysis Intern, you need a solid understanding of statistics, data analysis, and proficiency in mathematics, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical software such as R, Python, or SAS, as well as experience with data visualization tools, is highly valuable. Strong attention to detail, critical thinking, and clear communication help interns interpret data effectively and share insights with teams. These skills and qualities are crucial for providing accurate analyses that drive informed business or research decisions.

What are some common challenges faced by statistical analysis interns during their internship?

Statistical Analysis Interns often encounter challenges such as learning to work with large, complex datasets and adapting to new statistical software or programming languages. They may also need to interpret ambiguous data or results and communicate their findings clearly to non-technical team members. Collaboration with experienced analysts and seeking feedback can help interns overcome these challenges and build practical skills for future roles.

Which internship is best for statistical analysis interns?

The best internship for statistical analysis interns typically involves roles at research organizations, data analytics firms, or corporate data departments that offer hands-on experience with statistical software like R or Python. Look for internships that provide exposure to real-world data projects, mentorship, and opportunities to develop skills in data cleaning, modeling, and visualization.

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Statistical Analysis Intern jobs near you

Campus AI Research Engineer (Intern)

Jump Trading

Chicago, IL • On-site

$300K/yr

Other

Re-posted 6 days ago

Job description

Campus AI Research Engineer (Intern)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

We are seeking world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, or pushing the boundaries of AI research from concept to production, you'll have the opportunity to work on impactful projects in a fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing AI/ML capabilities, we want to meet you.

What You'll Do:

  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial AI/ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate AI/ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale AI/ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:

This role covers a wide range of potential projects and skills. We don't expect everyone to have all of these, but for the applicable areas we are looking for deep technical expertise.

  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Proficiency in Python and/or C++
  • Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
  • Ability to thrive in a collaborative, team-oriented environment
  • Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
  • Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference requirements)
  • Excellent written and verbal communication skills in English
  • Reliable and predictable availability

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

The estimated base salary for this role (annualized) is $300,000 per year.

Apply