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Computer Science Finance Jobs in Illinois (NOW HIRING)

Bachelor's degree in Computer Science, Finance, or another quantitative or technical field required. An equivalent combination of education and/or experience may be considered in lieu of the degree ...

Bachelor's degree in Computer Science, Finance, or another quantitative or technical field required. An equivalent combination of education and/or experience may be considered in lieu of the degree ...

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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College juniors and seniors in quantitative majors such as mathematics, engineering, aerospace, physics, computer science, finance, economics, or related fields are encouraged to apply. Teaching ...

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College juniors and seniors in quantitative majors such as mathematics, engineering, aerospace, physics, computer science, finance, economics, or related fields are encouraged to apply. Teaching ...

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College juniors and seniors in quantitative majors such as mathematics, engineering, aerospace, physics, computer science, finance, economics, or related fields are encouraged to apply. Teaching ...

Be Seen First

College juniors and seniors in quantitative majors such as mathematics, engineering, aerospace, physics, computer science, finance, economics, or related fields are encouraged to apply. Teaching ...

Instructor, Science Literacy

Campus, IL · Hybrid

$46.06 - $142.49/hr

... computer science, statistics, data science or math); PhD preferred in one of the science fields ... financial security, and work-life balance. ** Eligibility and entitlements may vary based on the ...

$20/hr

Pursuing a Bachelor's degree in Business Analytics, Economics, Engineering, Computer Science, Mathematics, Statistics, Data Science, Finance, or a related field * Graduating Winter 2027 or Spring ...

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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 are popular job titles related to Computer Science Finance jobs in Illinois?

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

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 September 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $89,762 per year, or $43.2 per hour.

Engineer: Financial Services

Mayer Brown

Chicago, IL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Mayer Brown is an international law firm positioned to represent the world's major corporations, funds, and financial institutions in their most important and complex transactions and disputes. We are recognized by our clients as strategic partners with deep commercial instincts and a commitment to creatively anticipating their needs and delivering excellence in everything we do.

We are a collegial, collaborative firm where highly motivated individuals with an unwavering commitment to excellence receive the opportunity, support, and development they need to grow, thrive, and realize their greatest potential all while supporting the Firm's client service principles of excellence, strategic partnership, commercial instinct, integrated strengths, innovation, and collaboration across our international firm.

If you thrive in a collaborative environment that values exceptional client service, initiative, professionalism, responsiveness, and adaptability, we invite you to consider joining our Accounting and Analysis department in our Chicago office as an Engineer: Financial Services.

The Engineer: Financial Services is responsible for the support and development of the Finance and Accounting department's data analysis, dashboarding & reporting needs. The incumbent will move and transform data so that it can be easily analyzed, visualized and worked upon by the business user community.

The Engineer will guide both business and technical users through the process of identifying and locating the data they need to solve their business needs, and to ensure that the users are able to securely access that data. The incumbent will partner and work closely with existing Finance and IT leadership and subject-matter experts, including the Enterprise Data, FP&A, Revenue Cycle Operations, Pricing & Matter Performance, Rates Management, Billing Operations, AR, AP, Business Intelligence, Financial Applications, and Project Management teams. Extensive collaboration with these teams will be a key driver for success in this role.

Responsibilities

Essential Functions:

  • Rapidly builds and maintains an understanding of the firm's "data landscape" - the key systems and databases used across the firm, how they are used, their data, data models and data integrations, with a specific focus on Finance & Accounting data
  • Works with the Enterprise Data team to develop scalable, reliable pipelines and ETL processes to manage the flow of data into, out of, and between these systems in order to:
    • Acquire and feed systems with appropriate data
    • Maintain data cleanliness and accuracy
    • Join and relate data from disparate systems
    • Prepare data for modelling, reporting, visualization and analysis
    • Generate a variety of reporting outputs, leveraging the Microsoft Power Platform and other tools
  • Works with our Senior Engineer in the design and implementation of new data models that may pertain to Finance & Accounting, and the other teams mentioned above
  • Designs and builds SQL queries, views, functions, and stored procedures
  • Develops and implements various Finance & Accounting and related dashboards in Power BI and other platforms
  • Adheres to established data modeling and information governance standards
  • Provides technical assistance and guidance to others, both within and outside of IT, helping them to locate and access the data they need, exercising judgment to choose between self-service and more interactive solutions
  • Collaborates with our Enterprise Data team to build a strong community of expertise to support the development and delivery of the firm's enterprise data strategy
  • Designs, builds and tests data structures, pipelines, and reporting process/systems in a sustainable manner, applying automation methods where appropriate
  • Participates in vendor engagements and solution assessments in coordination with the team
  • Builds knowledge and expertise to support the solutions and applications built by the Global Financial Technology & Strategy team
  • Participates in the evaluation of new financial products/applications deemed to be appropriate for the Firm's business, as required
  • Writes, develops and reviews design, interface, user, functional, and technical design documentation, including process maps
Qualifications, Experience and Personal Attributes

Education/Training/Certifications:

  • Bachelor's degree in Computer Science, Finance, or another quantitative or technical field required. An equivalent combination of education and/or experience may be considered in lieu of the degree when the experience has been directly related to the functions of the job
  • Training or certifications in data engineering, cloud data platforms, data science, or analytics (e.g., Fabric Data Engineer, Azure Solutions Architect, Power BI) are preferred

Professional Experience: 

  • Minimum 3 years previous professional experience as a Data Analyst, Financial Analyst, Engineer, or similar role is required
  • Experience working with organizational data warehouses, including the creation and management of the data residing within them required
  • Experience developing relationships with key business stakeholders to understand requirements and support the adoption of new data and reporting solutions is required
  • History of working with team members across multiple offices is preferred
  • Past experience with a law or other professional services firm is welcome, but not required

Technical Skills: 

  • Proficiency in all Microsoft Office products required, including Visio
  • Experience with enterprise relational database technologies is required, including but not limited to Microsoft SQL Server
  • Experience with enterprise data management, integration, and analytical technologies is required, including but not limited to:
    • Microsoft SQL Server Integration Services (SSIS) and other ETL tools
    • Microsoft SQL Server Reporting Services (SSRS)
    • Microsoft SQL Server Management Studio (SSMS)
    • Microsoft Power Platform experience
  • Scripting experience using SQL, Python, R, Power Query M, or PowerShell is preferred
  • Knowledge of law firm practice management systems (Aderant or Elite) is preferred

Performance Traits:

  • Strong written and verbal communication skills, able to communicate with various audiences effectively and in a professional manner, at all levels of the Firm, and with outside vendors
  • Strong analytical and problem-solving skills with an ability to investigate and assess complex systems to propose technical solutions, and explain them to a non-technical audience
  • Strong organizational and time management, priority-setting, and troubleshooting skills, especially when responding to unanticipated business requirements
  • Ability to work in a diverse team environment and effectively support the demanding needs of the Firm
  • Able to effectively communicate and influence others outside the direct chain of reporting
  • Ability to work under pressure, and meet deadlines with shifting priorities
  • Must be a self-starter with a high level of initiative
  • Strong customer service skills, able to anticipate needs and exercise independent judgment
  • Strong attention to detail, organizational skills and the ability to handle multiple projects
  • Maintains confidentiality and exercises discretion
  • Willing to challenge the status quo, and knows when to speak up while demonstrating tact

Physical Requirements:

  • May require travel to other offices as needed

We offer competitive compensation and comprehensive benefits, including medical/dental/vision/life/and AD&D insurance, 401(k) savings plan, back-up childcare and eldercare, generous paid time off (PTO), as well as opportunities for professional development and growth.

We are committed to providing equal opportunity and reasonable accommodations to applicants and employees with disabilities and disabled veterans. To request an accommodation related to the application process or interview, please email uslateralrecruiting@mayerbrown.com. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Mayer Brown works with select external search firms that have been vetted against our standards. Firms without a contract or agreement with Mayer Brown are not authorized to represent that they are working with the Firm, nor are they entitled to placement fees. Mayer Brown does not accept unsolicited CVs from external recruiters. Submission of an unsolicited CV to Mayer Brown or any of its Partners or employees will not establish any right of priority for the submitting agency.

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Posted Pay RangeThe typical pay scale for this position is between USD $95,000.00/Yr. and USD $126,000.00/Yr., although the actual wage or salary could be lower or higher if the candidate's education, experience, skills and internal pay alignment are different from those specified.Employment Type: FULL_TIME