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Quantitative Risk Intern Jobs in Illinois (NOW HIRING)

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Quantitative Risk Intern information

What is a quantitative risk intern?

Quantitative Risk Interns are students or recent graduates who assist risk management teams in financial institutions by applying mathematical, statistical, and programming skills to analyze and manage financial risks. They typically work on projects that involve modeling risk exposures, stress testing portfolios, and supporting the development of risk management tools. This role provides hands-on experience with risk assessment processes, financial data analysis, and exposure to industry-standard software and methodologies. Interns also have the opportunity to learn from experienced risk professionals and gain insight into the decision-making processes that help institutions mitigate financial risks.

What types of projects or tasks can a quantitative risk intern expect to work on during their internship?

As a Quantitative Risk Intern, you can expect to contribute to projects involving data analysis, financial modeling, and risk assessment for various portfolios or products. Typical tasks include gathering and cleaning large datasets, running statistical analyses, developing or refining risk models under supervision, and preparing reports to communicate findings to senior team members. Interns often collaborate closely with risk analysts, quantitative researchers, and sometimes IT teams, gaining exposure to both technical and business aspects of risk management. This hands-on experience provides valuable insight into industry-standard tools and methodologies, preparing you for a potential full-time role in quantitative finance.

What are the key skills and qualifications needed to thrive as a quantitative risk intern, and why are they important?

To thrive as a Quantitative Risk Intern, you need strong analytical skills, a solid understanding of statistics and probability, and progress toward a degree in finance, mathematics, or a related field. Familiarity with programming languages like Python or R, experience using statistical software, and knowledge of risk management frameworks are typically expected. Attention to detail, effective communication, and a proactive approach to problem-solving are valuable soft skills in this role. These competencies are crucial for accurately assessing financial risks and supporting data-driven decision-making in a fast-paced environment.

What are the most commonly searched types of Quantitative Risk jobs in Illinois?

The most popular types of Quantitative Risk jobs in Illinois are:

What are popular job titles related to Quantitative Risk Intern jobs in Illinois?

For Quantitative Risk Intern jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Intern jobs in Illinois look for?

The top searched job categories for Quantitative Risk Intern jobs in Illinois are:

What cities in Illinois are hiring for Quantitative Risk Intern jobs?

Cities in Illinois with the most Quantitative Risk Intern job openings:

Quantitative Risk Intern jobs near you

Campus AI Research Engineer - Deep Learning (Intern)

Chicago, IL • On-site

Jump Trading
Finance and Insurance • 501 - 1,000 employees
Learn more about Jump Tradingexternal

$300K/yr

Other

Re-posted yesterday

Job description

Campus Ai Research Engineer - Deep Learning (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 research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.

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 ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate 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 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:

  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
  • Solid development skills in Python and/or C++
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
  • Ability to thrive in a collaborative, team-oriented environment
  • Ability to reason through quantitative problems and communicate effectively with trading researchers
  • Reliable and predictable availability

Bonus Points:

  • Experience with HPC and distributed large model training
  • Experience with GPU performance optimization (CUDA or ROCm)
  • Experience with end-to-end model development
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure

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