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Computer Science Finance Jobs in Illinois (NOW HIRING)

Qualifications: - BS/BA degree required. (Coursework in Statistics, Finance, or Computer Science preferred.) - 3+ years of relevant Python scripting experience. - 2+years of relevant work experience ...

Degree in MIS, Computer Science, Finance, Economics, Math, or a related field * 1-2 years of experience in financial services, accounting, or a related industry * Exposure to portfolio accounting or ...

Finance Data Analyst II

Chicago, IL · On-site

$100 - $125/hr

Bachelor's degree in Computer Science, Information Systems, Finance or related field * GEICO will not sponsor a new applicant for employment authorization for this position Core Competencies ...

New

... Computer Science, Finance, Economics, Mathematics, or Accounting) • Familiarity with electronic trading or market microstructure, and experience working with financial datasets • Proficient in ...

Showing results 41-60

Computer Science Finance information

See Illinois salary details

$24.2K

$89.8K

$131.3K

How much do computer science finance jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computer science finance in Illinois is $89,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $105,600.00 per year, depending on experience, location, and employer.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

What are finance jobs for computer science majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

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

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

Can computer science work in finance?

Computer science professionals can work in finance by developing algorithms, managing data systems, and creating financial models. Skills in programming, data analysis, and knowledge of financial concepts are essential for roles such as quantitative analyst, financial software developer, or risk analyst.

What job categories do people searching Computer Science Finance jobs in Illinois look for?

The top searched job categories for Computer Science Finance jobs in Illinois are:

What cities in Illinois are hiring for Computer Science Finance jobs?

Cities in Illinois with the most Computer Science Finance job openings:

Infographic showing various Computer Science Finance job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,762 per year, or $43.2 per hour.

Software Engineer (Python, Java, C++, or GoLang) - Chicago, IL- ONSITE 2X Week- FreeWheel

Comcast (CC) of Willow Grove

Chicago, IL • On-site

$125 - $150/hr

Other

Posted 2 days ago

New


Xfinity rating

7.0

Company rating: 7.0 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

68th of 101 rated telecommunications companies


Job description

Job Summary

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. Job Summary The Software Engineering for Audience and Measurement (SEAM) team builds the audience, identity, and measurement services that help advertisers and publishers reach the right people and understand campaign performance. The team delivers identity resolution, audience segmentation, and privacy-preserving measurement solutions at scale, enabling more effective targeting, optimized spend, and clear insights into advertising impact. We are looking for a Software Engineer that will deliver software, automation, analytics, and cloud optimization solutions that connect engineering performance with financial outcomes. Reporting to the Senior Manager of Optimization, you will be a hands-on individual contributor who partners across Engineering, Finance, Product, Architecture, Data, Platform, and SRE. Your work will improve cost visibility, infrastructure efficiency, developer productivity, operational reliability, and the return on technology investments while supporting scalable audience, identity, measurement, decisioning, and activation platforms.

Job Description Core Responsibilities

Build and maintain software, data pipelines, dashboards, and automation that measure cloud spend, infrastructure utilization, cost per transaction or activation, capacity, reliability, and engineering productivity. Partner with the Manager and Finance stakeholders to translate budgets, forecasts, unit economics, and business cases into actionable engineering requirements and measurable optimization initiatives. Analyze cloud, platform, and data workloads to identify cost anomalies, inefficient resource use, redundant services, and opportunities to improve workload placement, storage, compute, and data movement. Implement AI- and analytics-enabled solutions that automate repetitive operational work, improve forecasting and anomaly detection, accelerate delivery, and surface recommendations for engineering and financial decision‑making. Contribute to the design and delivery of scalable, available, secure, and maintainable services using cloud-native patterns, infrastructure as code, CI/CD, automated testing, and observability. Work with Architecture, Platform, Data, SRE, and product engineering teams to evaluate cost‑efficient design patterns and participate in buy‑versus‑build‑versus‑broker and modernization decisions. Create reliable integrations between engineering telemetry, cloud billing data, financial planning inputs, and executive reporting; validate data quality and document definitions, assumptions, and controls. Support capacity planning, cost allocation, tagging, chargeback, and forecasting processes that improve financial accountability and budget accuracy across engineering teams. Develop automated unit and integration tests, troubleshoot production and data‑quality issues, and ensure solutions adhere to engineering, security, compliance, and operational standards. Communicate findings and recommendations clearly to technical and nontechnical stakeholders, including the expected business value, implementation tradeoffs, risks, and realized savings. Contribute to continuous improvement by reducing technical debt, simplifying operational workflows, sharing reusable patterns, and coaching teammates on cost‑conscious engineering practices. Stay current on cloud cost‑management practices, AI capabilities, data platforms, and engineering productivity tools; prototype and evaluate technologies that can improve operational efficiency. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned.

The Ideal Skillset
  • Bachelor’s degree in computer science, Engineering, Data Science, Finance, or a related field, or equivalent practical experience.
  • Typically, 3+ years of hands‑on software engineering experience using languages such as Python, Go, Java, JavaScript/Node.js, Rust, or Scala.
  • Experience with at least one major cloud provider—AWS, Azure, GCP, or OCI and working knowledge of cloud billing, resource tagging, usage metrics, or cost‑management concepts.
  • LLM/RAG/MCP and Agentic AI Working knowledge of CI/CD and infrastructure‑as‑code tools such as GitHub Actions, Jenkins, Terraform, or equivalent technologies.
  • Experience with microservices, containers, and orchestration platforms such as Docker, Kubernetes, EKS, or OKE.
  • Strong SQL skills and exposure to data and analytics platforms such as Snowflake, Databricks, Spark, Presto, EMR, PostgreSQL, or Aerospike.
  • Experience building dashboards, automated reporting, data pipelines, or observability solutions using tools such as Datadog, Prometheus, ELK, Grafana, or business intelligence platforms.
  • Ability to analyze technical and financial data, quantify tradeoffs, debug scoped issues, and turn findings into practical engineering actions.
  • Strong collaboration and communication skills, including the ability to work effectively with Engineering, Finance, Product, Architecture, Data, Platform, SRE, compliance, and end users.
  • Ability to contribute in a fast‑paced agile environment while balancing delivery, reliability, security, cost, and maintainability.
Employees at all levels are expected to:
  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience - think and act in ways that put our customers first, give them seamlessdigital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff - be enthusiastic learners, users and advocates of our game‑changing technology, products and services, especially our digital tools and experiences.
  • Win as a team - make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Respect and promote inclusion & diversity.
  • Do what's right for each other, our customers, investors and our communities.
Disclaimer

This information has been designed to indicate the general nature and level of work performedbyemployeesinthisrole.Itisnotdesignedtocontainorbeinterpretedasa comprehensive inventory of all duties, responsibilities and qualifications. Skills Analytics, Data Analysis, Operational Efficiency Compensation Illinois Pay Range: $109,759.26 - $164,638.89 Comcast intends to offer the selected candidate base pay within this range, dependent on job‑related, non‑discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non‑sales positions are eligible for a Bonus. Additionally, Comcast provides best‑in‑class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always‑on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience 5-7 Years

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

At Comcast , you have the power to connect the world. Your career options are endless as you grow in your career. Explore your future with access to a variety of teams, locations, and resources in an expanding network. You can also explore additional opportunities at our company, NBCUniversal.

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