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Computer Science Finance Jobs in Chicago, IL (NOW HIRING)

Required Qualifications • Bachelor's degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, or a related field, or an equivalent combination of education and 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 ...

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Computer Science Finance information

See Chicago, IL salary details

$25.8K

$95.4K

$139.6K

How much do computer science finance jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer science finance in Chicago, IL is $95,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $112,300.00 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 are popular job titles related to Computer Science Finance jobs in Chicago, IL?

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

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

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

Infographic showing various Computer Science Finance job openings in Chicago, IL 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 $95,424 per year, or $45.9 per hour.

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Posted 2 days ago

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Job description

Position Overview
International's Central Sales Administration (CSA) is seeking a Data Scientist Principal to lead the next phase of data science and analytics across pricing, forecasting, and commercial decision-making.
This role builds on an established foundation of models and tools and focuses on scaling impact across the organization. The individual will define priorities, guide solution development, and work closely with senior stakeholders to expand the use of data in financial and commercial decisions.
This role serves as the analytical leader for CSA's end-to-end revenue management strategy, driving the integration of pricing, demand forecasting, customer intelligence, competitive insights, and commercial performance analytics into a unified decision-making framework.
This is both a hands-on and strategic role - balancing technical depth with leadership and direction-setting.
Responsibilities
Strategy & Roadmap
  • Define and prioritize data science initiatives aligned with business goals
  • Identify high-impact opportunities to improve pricing, forecasting, and margin performance
  • Establish the long-term roadmap for Integrated Pricing Intelligence and revenue management analytics capabilities

Solution Architecture & Oversight
  • Guide design of scalable data pipelines, models, and analytical frameworks
  • Ensure solutions are maintainable, reliable, and aligned with best practices
  • Lead development of enterprise-scale analytics solutions leveraging modern data platforms such as Palantir Foundry,
  • Databricks, and cloud-based AI/ML ecosystems

Advanced Analytics & Modeling
  • Oversee development of predictive models and ensure they are robust and actionable
  • Set standards for modeling approaches and evaluation
  • Ensure analytical outputs are translated into decision-support tools that directly influence pricing, forecasting, and commercial strategy

Organizational Influence
  • Partner with Finance, Sales, and leadership to drive adoption of data-driven decision-making
  • Translate analytical outputs into clear business recommendations
  • Serve as a trusted advisor to senior leadership by converting analytical findings into strategic revenue and profitability recommendations

Leadership & Mentorship
  • Mentor data scientists and analysts
  • Help establish best practices for development, deployment, and communication
  • Promote adoption of AI, advanced analytics, and modern data engineering practices across the organization

Minimum Requirements
  • Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field
  • At least 6 years of analytics, statistical analysis, engineering, IT, data quality or finance experience
  • At least 3 years of leasdership experience

OR
  • Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field
  • At least 5 years of analytics, statistical analysis, engineering, IT, data quality or finance experience
  • At least 3 years of leasdership experience

OR
  • PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field
  • At least 4 years of analytics, statistical analysis, engineering, IT, data quality or finance experience
  • At least 3 years of leasdership experience

Additional Requirements
  • Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

Desired Skills
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field (Master's preferred)
  • 6-8+ years of experience in data science, analytics, or related roles
  • Proven track record of delivering impactful, production-level data science solutions
  • Advanced proficiency in Python, SQL, and machine learning frameworks
  • Experience leading complex or cross-functional initiatives
  • Experience leveraging AI, machine learning, and advanced analytics to support business decision-making and operational execution
  • Experience with forecasting and time series modeling
  • Strong background in machine learning and statistical modeling
  • Experience working with enterprise data platforms (e.g., Palantir Foundry, Databricks, or similar modern analytics environments)
  • Proficiency in Palantir Foundry and/or Databricks, including development of scalable analytical workflows, data products, and decision-support applications
  • Experience applying Generative AI, predictive AI, and decision intelligence frameworks to business processes
  • Ability to influence senior stakeholders and drive adoption
  • Strong communication and leadership skills
  • Ability to connect technical solutions to measurable business outcomes
  • Experience supporting pricing, revenue management, commercial analytics, or related business functions preferred

Benefits and Compensation
This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting ;br>
The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.
Company Overview
About TRATON
With its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world's leading commercial vehicle manufacturers. The Group's product portfolio comprises trucks, buses, and light-duty commercial vehicles. "Transforming Transportation Together. For a sustainable world.": this intention underlines the Company's ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group's commercial growth.
About International
From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International trucks and engines and IC Bus school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit International.com.
*International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.
EEO Statement
We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.

Navistar logo

About Navistar

Sourced by ZipRecruiter

Navistar is a purpose-driven company, reimagining how to deliver what matters to create more cohesive relationships, build higher-performing teams and find solutions where others don't. Navistar is the Lisle, Illinois-based parent company of International® brand commercial trucks and engines, IC Bus® brand school and commercial buses, all-makes OnCommand® Connection advanced connectivity services, aftermarket parts brands Fleetrite®, ReNEWed® and Diamond Advantage® and Brazilian manufacturer of engines and gensets MWM Motores Diesel e Geradores. With a history of innovation dating back to 1831, Navistar has more than 12,000 employees worldwide and is part of TRATON SE, a global champion of the truck and transport services industry. Accelerating the Impact of Sustainable Mobility

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Lisle, IL, US

Year founded

1902

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