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Intern Open Source Intelligence Analyst Jobs in Bolingbrook, IL

PCF Lead Developer, Java Spring Developer _2393

Chicago, IL ยท On-site

$52.50 - $68/hr

... Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and ... Developed and deployed applications on Pivotal Cloud Foundry and/or Cloud Foundry (open source PCF ...

Data Architect (Snowflake)

Chicago, IL ยท On-site

$65.75 - $84.50/hr

... intelligence, analytics - 4+ years of experience in architecture for commercial scale data ... data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase ...

... source systems. * Lead the creation and optimization of CCH Tagetik reports, dashboards, and ... Collaborate with Accounting, FP&A, and IT teams to translate business requirements into scalable ...

... source systems. * Lead the creation and optimization of CCH Tagetik reports, dashboards, and ... Collaborate with Accounting, FP&A, and IT teams to translate business requirements into scalable ...

... source systems. * Lead the creation and optimization of CCH Tagetik reports, dashboards, and ... Collaborate with Accounting, FP&A, and IT teams to translate business requirements into scalable ...

AI Engineering Intern

Chicago, IL ยท On-site

$17.25 - $22.50/hr

Analyze datasets to extract insights and generate features under guidance * Learn cloud-based tools ... Intellectual curiosity - asking thoughtful questions and seeking deeper understanding * Attention ...

Senior Data Analyst - Risk Product Data

Chicago, IL ยท On-site

$88K - $111K/yr

... Innovation, Business Intelligence and Data Management: Innovation * Use Open Source/Digital ... Drive analysis that provides meaningful insights on business strategies Data Management * Drive an ...

Showing results 41-60

Intern Open Source Intelligence Analyst information

What is an intern open source intelligence analyst?

Intern Open Source Intelligence Analysts are entry-level professionals who assist in collecting and analyzing publicly available information (open sources) such as news articles, social media, and public records to support security, law enforcement, or business intelligence objectives. They help identify trends, assess threats, and provide actionable insights under the supervision of experienced analysts. These internships are typically designed for students or recent graduates interested in intelligence, security studies, or data analysis, offering hands-on experience in a real-world analytical environment.

What types of projects can an intern open source intelligence analyst expect to work on during their internship?

As an Intern OSINT Analyst, you'll typically work on projects involving the collection, analysis, and reporting of publicly available data to support security or investigative objectives. Daily tasks might include monitoring social media platforms, analyzing news reports, or mapping data from public records to identify trends and potential threats. You'll often collaborate closely with senior analysts and other team members, contributing your findings to larger intelligence reports or presentations. This role offers valuable exposure to real-world intelligence workflows and can provide a solid foundation for a future career in intelligence or cybersecurity.

What are the key skills and qualifications needed to thrive as an intern open source intelligence analyst, and why are they important?

To thrive as an Intern Open Source Intelligence Analyst, you need a strong analytical mindset, attention to detail, and foundational knowledge of intelligence gathering and research methodologies, often supported by coursework in international relations, cybersecurity, or a related field. Familiarity with OSINT tools like Maltego, social media monitoring platforms, and basic data analysis software is typically required. Strong written communication, critical thinking, and the ability to work independently are standout soft skills in this role. These competencies are crucial for accurately assessing publicly available information and contributing valuable insights to support organizational decision-making.

What is the difference between Intern Open Source Intelligence Analyst vs Intern Cybersecurity Analyst?

AspectIntern Open Source Intelligence AnalystIntern Cybersecurity Analyst
Required CredentialsRelated certifications like OSINT courses, basic security knowledgeCybersecurity fundamentals, certifications like CompTIA Security+
Work EnvironmentResearch-focused, data analysis, open-source data collectionNetwork monitoring, threat analysis, security tools
Employer & Industry UsageGovernment agencies, intelligence firms, private securityTech companies, financial institutions, government cybersecurity teams
Common Search & Comparison IntentUnderstanding roles, skills, and career paths in open-source intelligenceLearning about cybersecurity internship opportunities and skills

Intern Open Source Intelligence Analysts focus on collecting and analyzing publicly available information to support intelligence efforts, often working in research-heavy environments. Intern Cybersecurity Analysts concentrate on protecting systems from threats, using security tools and monitoring networks. While both roles involve data analysis and security fundamentals, their focus areas and tools differ significantly.

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Infographic showing various Intern Open Source Intelligence Analyst job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Campus AI Research Engineer - Research Automation (Intern)

Jump Trading

Chicago, IL โ€ข On-site

$300K/yr

Full-time, Internship

Re-posted 10 days ago


Job description

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.