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Computer Science Finance Jobs in Ohio (NOW HIRING)

Bachelor's degree in accounting, business administration, computer science, or a related field and 10+ years of related experience; or * MBA or master's degree in accounting or finance and 8+ years ...

Enterprise Analyst - Finance

Dayton, OH · On-site

$100K - $153K/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 ...

Showing results 41-60

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 Sep 8, 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 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 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:

Infographic showing various Computer Science Finance job openings in Ohio as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $88,064 per year, or $42.3 per hour.

Finance Decision Optimization: Product Director Forecast Automation

J.P. Morgan

Columbus, OH

Full-time

Medical, Retirement

Re-posted 23 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

As the Product Director, with the Forecast Automation and Engineering team, you will leverage your techno-functional expertise to design and implement forecasting models that meet business needs and collaborate with cross-functional teams to align on technical solutions with business objectives, ensuring model accuracy and efficiency.

Job Responsibilities:

  • Analyze and interpret forecasting processes to design optimized solutions.
  • Identify opportunities for process improvements and model enhancements (e.g., connecting upstream/downstream calculators, streamlining code base).
  • Collaborate with tech teams, functional partners (P&A, Controllers, Risk), line-of-business partners (Firmwide, Commercial & Investment Bank) and internal stakeholders to align on business and technical requirements.
  • Develop and manage a scorecard of metrics to track success in a multi-dimensional way (e.g., time saved, data pipelines automated, control checks enabled).
  • Deliver on AI agenda (e.g., agentic solutions that automate forecasting-related activities, AI development for discovery) 
  • Articulate  a product vision and strategy to guide development efforts.
  • Develop a strategic roadmap for onboarding models onto cloud-based architecture (e.g., Databricks).
  • Leverage JIRA and JIRA Align to align stories, epics, and initiatives to the product roadmap.

Required Qualifications, Capabilities, and Skills:

  • Bachelor's degree in Computer Science, Data Science, Business, or related field.
  • Proven experience in product management with a focus on data-driven solutions.
  • Strong understanding of Databricks architecture and Python coding.
  • Experience in developing and executing forecasting models.
  • Excellent communication and collaboration skills with cross-functional teams.
  • Strategic thinker with the ability to develop comprehensive product roadmaps.
  • Strong analytical skills and attention to detail.

Preferred Qualifications, Capabilities, and Skills:

  • Background in retail banking products.
  • Familiarity with modern front-end technologies and cloud solutions.
  • Ability to effectively maximize delivery of business goals and returns on investment.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.