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Computer Science Graduate Trainee Jobs in Chicago, IL

In your final year of study toward a BA, BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field * Strong proficiency in C++ (or a comparable systems ...

... solutions across healthcare, life sciences, and technology, we connect top talent with ... We welcome motivated individuals with a growth mindset--whether you're a recent graduate or ...

Underwriting Trainee

Chicago, IL · On-site

$65K - $75K/yr

Excellent computer skills (e.g. Excel, Word, SharePoint) and the ability and willingness to learn ... economics, actuarial science, or related fields. * Required: Proficiency with Microsoft ...

The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health ...

Showing results 41-60

Computer Science Graduate Trainee information

See Chicago, IL salary details

$14

$21

$37

How much do computer science graduate trainee jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for computer science graduate trainee in Chicago, IL is $21.79, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.00 per hour, depending on experience, location, and employer.

What is a computer science graduate trainee?

Computer Science Graduate Trainees are recent graduates who join organizations to gain practical experience in the field of computer science. They typically rotate through various departments or projects to develop technical, analytical, and professional skills under the guidance of experienced mentors. The role is designed to bridge the gap between academic knowledge and real-world application, often leading to permanent positions within the company upon successful completion of the program.

What kinds of projects or tasks can I expect to work on as a computer science graduate trainee?

As a Computer Science Graduate Trainee, you'll typically rotate through various teams or departments to gain exposure to different technologies and business functions. You may work on real-world projects such as developing software features, debugging code, assisting with system integrations, or supporting IT infrastructure. Collaborating closely with senior engineers and cross-functional teams is common, and you'll often be assigned a mentor to guide your learning. This structure helps build a well-rounded technical skillset and provides opportunities to identify areas of specialization for future career growth.

What are the key skills and qualifications needed to thrive as a computer science graduate trainee, and why are they important?

To thrive as a Computer Science Graduate Trainee, you need a solid grounding in programming languages (such as Python, Java, or C++), algorithms, and data structures, along with a relevant computer science degree. Familiarity with version control systems like Git, basic database management, and exposure to cloud platforms or development frameworks are commonly expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help set candidates apart. These skills and qualities are crucial for adapting quickly, contributing effectively to projects, and building a foundation for a successful tech career.

What is the difference between Computer Science Graduate Trainee vs Software Developer?

AspectComputer Science Graduate TraineeSoftware Developer
Required CredentialsBachelor's in Computer Science or related field, training programsBachelor's or higher in Computer Science, coding skills
Work EnvironmentEntry-level, training-focused, supervisedProject-based, coding, testing, deployment
Employer & Industry UsageInternships, training programs in tech companiesFull-time roles in software firms, tech departments
Search & Comparison IntentUnderstanding entry-level training rolesJob responsibilities, skills required

The main difference is that a Computer Science Graduate Trainee is an entry-level position focused on training and skill development, often within a structured program. In contrast, a Software Developer is a full-time professional role involving designing, coding, and maintaining software projects. Trainees typically undergo supervised learning, while developers work independently on projects.

What are the most commonly searched types of Computer Science Graduate jobs in Chicago, IL?

The most popular types of Computer Science Graduate jobs in Chicago, IL are:

What are popular job titles related to Computer Science Graduate Trainee jobs in Chicago, IL?

For Computer Science Graduate Trainee jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Computer Science Graduate Trainee jobs in Chicago, IL look for?

The top searched job categories for Computer Science Graduate Trainee jobs in Chicago, IL are:

Infographic showing various Computer Science Graduate Trainee job openings in Chicago, IL as of September 2026, with employment types broken down into 2% Internship, 74% Full Time, 18% Part Time, and 6% Contract. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution, with an average salary of $45,317 per year, or $21.8 per hour.

Manager, Alpha Analytics and Portfolio Risk

Chicago, IL • On-site

Other

Medical, Life

Re-posted 5 days ago


Job description

Summary

The Investments team manages the John D. and Catherine T. MacArthur Foundation’s $9.6billion investment portfolio. The portfolio is managed within a globally diversified, multi‑asset class framework with the objective of earning a 5% real return annually. It serves as the source of funds for the Foundation’s grant making and other organizational expenses.

The Manager, Portfolio Risk and Alpha Strategies, has primary responsibility for the day‑to‑day operation of the Foundation’s portfolio risk analytics, manager return and factor decomposition, and portable alpha program. The Manager reports to the Deputy Chief Investment Officer, partners closely with the Deputy CIO on portfolio construction, risk‑aware decision‑making and the implementation of derivative‑based exposures, and serves as a senior technical leader for the team’s data, analytics, and AI‑enabled workflows.

Initially, the Manager is expected to operate as a senior practitioner from day one. Over time, the Manager will grow into a broader portfolio leadership role that contributes to asset allocation, manager underwriting and Investment Committee dialogue.

Essential Duties and Responsibilities
  • Run the day-to-day operation of the Foundation’s portable alpha program under the strategic oversight of the Deputy CIO.
  • Interact with the overlay manager and execute derivative trades to manage market exposure, and oversee the program’s performance and operations.
  • Operate the Foundation’s portfolio risk‑management framework on a daily basis—including monitoring total market risk, downside exposure, factor exposures, currency exposures, and portfolio resilience—in partnership with the Deputy CIO.
  • Lead the decomposition and analysis of external manager returns, including factor‑exposure analysis, performance attribution and alpha‑beta separation.
  • Participate as a member of the Risk Committee.
  • Develop conclusions from analyses for use by senior portfolio managers, the Deputy CIO and CIO.
  • Manage the Foundation’s counterparty risk on an ongoing basis, including monitoring, limit setting and reporting.
  • Manage the Foundation’s portfolio of short‑term cash enhancement instruments.
  • Participate in prospective manager presentations.
  • Contribute to the underwriting of public equity and other marketable mandates as the role matures.
  • Contribute to the Foundation’s annual asset allocation process, including capital‑markets assumptions, scenario work and portfolio construction analysis.
  • Measure currency and factor exposure across the portfolio and evaluate hedges for both public and private investments.
  • Partner with the Operations team on the design of the Investments team’s data and analytics infrastructure, defining the analytics needed to support portfolio decisions and shaping the analytical content of reports, dashboards and configuration models.
  • Maintain sufficient technical fluency in data architecture, ETL pipelines and API‑based integrations across market data, accounting, custody, risk and manager data systems to engage Operations and external providers on design and implementation.
  • Implement the Investments team’s AI agent roadmap as defined by the CIO, including integration with Dynamo and the analytics layer, deployment and evaluation of agentic workflows, and the technical governance frameworks (data quality, audit logging, human‑in‑the‑loop boundaries) that govern production and use.
  • Partner with the Senior Analyst, Strategy and Operations on rollout and adoption across the team.
  • Prepare materials for the Investment Committee in support of the Deputy CIO and CIO, including ad‑hoc analyses, portfolio updates and materials supporting strategic portfolio decisions.
  • Mentor junior staff and manage direct reports as the team grows.
  • May perform other duties as assigned.
Qualifications
  • Undergraduate degree in a quantitative field such as mathematics, statistics, engineering, economics, finance, or computer science; graduate degree a plus.
  • CFA charterholder strongly preferred.
  • 7 to 10 years of investment‑management experience, including direct experience managing or being deeply embedded in an institutional multi‑asset portfolio (endowment, foundation, outsourced‑CIO, sovereign‑wealth, pension or large multi‑family office).
  • Experience operating within an institutional risk‑management framework, including risk budgeting, value‑at‑risk, factor and currency exposures, scenario analysis and stress testing.
  • Hands‑on experience decomposing manager returns, including factor‑exposure analysis, performance attribution and alpha‑beta separation.
  • Ability to translate analytical results into clear conclusions for senior portfolio managers.
  • Working knowledge of equity and fixed‑income derivatives, including pricing, margining and the operational mechanics of overlay and portable‑alpha programs.
  • Experience underwriting and overseeing external managers preferred.
  • Ability to design and maintain production data and analytics infrastructure for an investment office, including data architecture, ETL pipelines, and reporting layers.
  • Practical experience integrating external systems via APIs across market data, accounting, custody, risk and manager data providers.
  • Advanced Excel and proficiency in Python required.
  • Working knowledge of AI and large‑language models in an institutional investment context.
  • Ability to evaluate AI use cases on their merits, distinguishing applications that add durable value from those that introduce model, data or governance risk disproportionate to the benefit.
  • Interest and capability in helping to author the operating frameworks that govern the team’s use of data and AI tools, including standards for data quality, documentation, human review and the boundary between automated workflows and analyst or PM judgment.
  • Experience managing and developing analysts in an investment context, with the ability to lead and grow a small team of one or two direct reports.
  • Excellent communication skills, with the ability to present complex investment concepts to senior stakeholders.
Benefits
  • Annual salary starting at $225,000.
  • Incentive bonus up to 130% of the base salary.
  • Comprehensive benefits package supporting life, health, and well‑being.
  • Position is hybrid and based in Chicago, Illinois.
Work Environment and Reasonable Accommodations

The work environment is an office setting. Requests for reasonable accommodations will be considered to enable a person with disabilities to perform the job. Reasonable accommodations are also available during the interview process.

EEO Statement

The John D. and Catherine T. MacArthur Foundation is an equal‑opportunity employer and does not discriminate on the basis of race, color, religion, national origin, sex, age, disability, pregnancy, marital status, sexual orientation, gender identity, veteran status, or any other characteristic protected by applicable federal, state or local laws.

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