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Computer Science Finance Jobs in Ohio (NOW HIRING)

CIG Communities

AI Innovation Associate

Cincinnati, OH · On-site

$70K - $85K/yr

A degree or related experience in a related field such as Information Systems, Business Analytics, Computer Science, Data Science, Finance, or Communications is a plus. We are equally interested in ...

CIG Communities

AI Innovation Associate

Cincinnati, OH · On-site

$70K - $85K/yr

A degree or related experience in a related field such as Information Systems, Business Analytics, Computer Science, Data Science, Finance, or Communications is a plus. We are equally interested in ...

KeyBank

IT Senior Data Quality Analyst

Brooklyn, OH · On-site

Bachelor's degree in Information Management, Computer Science, Finance, or related field, or equivalent experience required Travel * Occasional travel to include overnight stay Work Location Category

Keybank

IT Senior Data Quality Analyst

Brooklyn, OH

Bachelor's degree in Information Management, Computer Science, Finance, or related field, or equivalent experience required Travel * Occasional travel to include overnight stay Work Location Category

AeroVironment

Enterprise Analyst - Finance

Dayton, OH

$100K - $142K/yr

Bachelor's degree in computer science, Information Systems, or related field. * Deep Finance and Accounting knowledge. * 8-10+ years of experience in ERP implementations, business analysis, or ...

SUNRAY INFORMATICS

Data Scientist

Columbus, OH

Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision ... Financial Services background Best Wishes, Dany|Recruiter|Sunray Informatics Inc (Direct) | (E ...

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Computer Science Finance information

See Ohio salary details

$23.8K

$88.1K

$128.8K

How much do computer science finance jobs pay per year?

As of Jun 7, 2026, the average yearly pay for computer science finance in Ohio is $88,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $103,600.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

More about Computer Science Finance jobs
What are popular job titles related to Computer Science Finance jobs in Ohio? For Computer Science Finance jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Ohio look for? The top searched job categories for Computer Science Finance jobs in Ohio are:
What cities in Ohio are hiring for Computer Science Finance jobs? Cities in Ohio with the most Computer Science Finance job openings:
Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Ohio as of May 2026, with employment types broken down into 63% Full Time, 35% Part Time, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $88,064 per year, or $42.3 per hour.
Quantitative Analytics Associate - Controllership

Quantitative Analytics Associate - Controllership

KeyBank

Brooklyn, OH • On-site

Full-time

Posted 11 days ago

KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

38th of 141 rated banks

Job description

Location:
4900 Tiedeman Road, Brooklyn Ohio
JOB BRIEF (PURPOSE)
As part of the Risk Modeling Enablement team within Finance, responsibilities for this position include, but are not limited to:
  • Supporting the implementation, testing, documentation, and on-going validation of credit loss forecasting models for use in CECL Allowance and Capital Stress Testing
  • Coordinating with Lines of Business, Data Owners, Risk Management, and Key Technology, Operations, and Services (KTOS) to ensure alignment with all activities impacting credit loss models
  • Creating and/or maintaining production environments for ongoing credit loss forecasting, including creation of process controls
  • Working both independently and as part of cross-functional teams to perform business, data, and application analysis to implement business requirements on a variety of reporting needs and strategic project initiatives

This role requires developing close relationships with the model development and reporting groups and understanding the impact of changing portfolio characteristics as well as economic and financial environments on model results. The position will require the ability to understand various statistical methodologies used to forecast credit losses, to complete analysis supporting critical business processes, and to understand and access various data sources, analytical platforms, and reporting platforms, including the use of cloud interfaces for programming and engineering.
ESSENTIAL JOB FUNCTIONS
  • In working with other teams within Finance, support orderly maintenance and development of a Google Cloud Platform (GCP) environment for model development and deployment
  • Assist with design of and implementation of production applications for credit loss modeling
  • Gather client requirements and translate to technical specifications; working closely with Risk Management Information Reporting (RMIR) and KTOS teams on changes to the production CECL environment, system conversions, quarterly change cycles, technical error resolution, production support, and other enhancements
  • Critical participation in annual Capital Plan Stress Tests, working closely with groups across the organization to produce and vet Credit Loss and Allowance forecasts
  • Perform data and process validation during development, testing, and production phases of various projects, including maintaining detailed records of development process
  • Communicate key points to respective stakeholders, with the appropriate level of detail for the relevant partners
  • Continue to evolve processes and use of technology with a focus on continuous improvement, leveraging new technologies, and identifying and implementing efficiencies; working with teammates and partners to document and ensure use of best coding practices

REQUIRED QUALIFICATIONS
  • Bachelor's Degree (Math, Statistics, Data Analytics, Computer Science, Finance, Accounting or related degree preferred)
  • Two years of relevant accounting, finance, analytics, or modeling experience, or a graduate degree in a related field
  • Proficiency in Python (e.g., NumPy, Pandas) or other Object-Oriented Programming language
  • Database querying and data transformation experience (e.g., Excel, BigQuery, DB2)
  • Familiarity with building reporting dashboards, including through the use of Tableau, Google Looker Studio, or other similar tools
  • Experience dealing with complex and large data sets from multiple sources to support analytical processes
  • Excellent communication skills
  • Quantitative, analytical, problem solving, and decision-making skills
  • Detail-focused organizational skills required to coordinate and manage multiple tasks simultaneously to meet strict deadlines

PREFERRED QUALIFICATIONS
  • Experience with Git, and demonstrable coding best-practices
  • Familiarity with Cloud Analytics (e.g., Google Cloud Platform, Azure, AWS)
  • Experience with quantitative modeling or forecasting
  • Familiarity with Current Expected Credit Loss financial accounting standards
  • Experience with bank stress testing (e.g., CCAR, DFAST)
  • Familiarity with ReactJS

COMPETENCIES/SKILLS
  • Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly complex problems; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision
  • Communication: Solid written and verbal communication skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders with the appropriate level of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present
  • Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Sought out to by business partners and team members
  • Business Acumen: Understands key drivers of financial results and business impact; Developing understanding of how business works; Possesses intellectual curiosity
  • Commitment: Exhibits ability to work under pressure, discipline to meet deadlines, ability to multi-task and consistently demonstrates flexibility in a dynamic environment

EQUIPMENT/SOFTWARE USED
Microsoft Office Suite, Python, Google Cloud Platform (GCP) and related tools (BigQuery, Cloud Storage, Looker Studio, etc.), VSCode, Tableau
#LI-KH1
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $68,000.00 - $103,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 06/24/2026KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
#LI-Hybrid

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About KeyBank

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Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849

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