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Computer Science New Grad Jobs in Evanston, IL (NOW HIRING)

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Computer Science New Grad information

See Evanston, IL salary details

$47.4K

$104.4K

$129K

How much do computer science new grad jobs pay per year?

As of Jul 27, 2026, the average yearly pay for computer science new grad in Evanston, IL is $104,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $128,500.00 per year, depending on experience, location, and employer.

What types of projects or tasks are typically assigned to Computer Science New Grads in their first role?

As a Computer Science New Grad, you will often start with foundational tasks such as fixing bugs, developing small features, writing tests, and assisting in code reviews. These assignments help you become familiar with the company's codebase, workflows, and development tools while providing opportunities to learn from experienced colleagues. You may also be involved in team meetings, participating in project planning sessions, and collaborating with other developers, product managers, or QA specialists. Over time, as you gain experience and confidence, you'll likely take on larger, more complex projects with greater responsibility. This structured approach allows new grads to build essential skills and smoothly transition into more advanced roles.

How to make 10,000 a month with no degree?

A computer science new graduate can potentially earn $10,000 a month by developing high-demand skills such as software engineering, data analysis, or cybersecurity, and working as a freelancer, consultant, or in high-paying remote roles. Building a strong portfolio, gaining certifications, and leveraging platforms like Upwork or LinkedIn can help access lucrative opportunities without a degree.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software engineers, data scientists, and cybersecurity specialists can reach or exceed $200,000 annually through experience, specialized skills, and certifications like AWS or Cisco. Sales, real estate, and entrepreneurial ventures also have potential for high income without a formal degree, often relying on performance, networking, and business acumen.

What are the key skills and qualifications needed to thrive in the Computer Science New Grad position, and why are they important?

To thrive as a Computer Science New Grad, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically backed by a relevant degree such as a Bachelor’s in Computer Science or related field. Familiarity with industry-standard programming languages (such as Python, Java, or C++), version control systems like Git, and experience with development environments or cloud platforms is highly valued. Strong problem-solving abilities, eagerness to learn new technologies, and effective communication skills help new grads excel in collaborative and fast-paced team settings. These competencies are crucial for adapting to real-world projects, contributing effectively to technical teams, and building a successful early career trajectory.

What is a Computer Science New Grad job?

A Computer Science New Grad job is an entry-level position designed for recent graduates with a degree in computer science or a related field. These roles typically focus on software development, data analysis, cybersecurity, or IT support, depending on the company. Employers seek candidates with strong programming skills, problem-solving abilities, and knowledge of industry-standard tools and technologies. New grads often receive mentorship and training to help them transition into professional environments.

Are new CS grads getting jobs?

New computer science graduates often find entry-level positions in software development, data analysis, and related fields, especially when they have strong programming skills and internships. Job availability can vary based on economic conditions, location, and individual qualifications, but many employers actively seek recent grads with foundational knowledge in programming languages and problem-solving abilities.

What jobs can you land as a new grad with a computer science degree?

As a new graduate with a computer science degree, common entry-level roles include software developer, quality assurance tester, technical support specialist, data analyst, and systems analyst. These positions typically require knowledge of programming languages, problem-solving skills, and familiarity with tools like Git and SQL. Opportunities are available across industries such as technology, finance, healthcare, and consulting.
What are popular job titles related to Computer Science New Grad jobs in Evanston, IL? For Computer Science New Grad jobs in Evanston, IL, the most frequently searched job titles are:
What job categories do people searching Computer Science New Grad jobs in Evanston, IL look for? The top searched job categories for Computer Science New Grad jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Computer Science New Grad jobs? Cities near Evanston, IL with the most Computer Science New Grad job openings:
Computer Science New Grad jobs near you
Infographic showing various Computer Science New Grad job openings in Evanston, IL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $104,448 per year, or $50.2 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

Chicago, IL

Full-time

Posted 12 days ago

Job description

About the Role

A proprietary trading firm based in Chicago is seeking a highly motivated New Grad Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking, market intuition, and quantitative problem-solving to identify trading opportunities, manage risk, and contribute to the development of data-driven strategies across global markets.

This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern trading strategies are designed, tested, and executed.

Requirements

Responsibilities
  • Monitor and analyze real-time market data to identify trading opportunities.
  • Support the development, testing, and refinement of quantitative trading strategies.
  • Make fast, data-informed trading decisions while managing risk.
  • Collaborate with traders, researchers, and engineers to improve trading models, tools, and execution systems.
  • Conduct statistical analysis on historical and live market data.
  • Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
  • Participate in trading simulations, training programs, and strategy review sessions.
  • Communicate trade ideas, risks, and performance insights clearly to the team.
  • Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
  • Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong quantitative, analytical, and problem-solving skills.
  • Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
  • Ability to make decisions quickly and remain calm under pressure.
  • Strong attention to detail and intellectual curiosity.
  • Excellent communication and teamwork skills.
  • Programming experience in Python or a similar language is preferred.
  • Prior internship, research, trading competition, or personal project experience involving data analysis, markets, or quantitative modeling is a plus but not required.
Ideal Candidate

The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.

Benefits

What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced traders, researchers, and technologists.
  • Exposure to live markets and real-time trading decision-making.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and impact.
  • Competitive compensation and benefits package.

Apply