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Computer Science Finance Jobs in Phoenix, AZ (NOW HIRING)

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ... Experience within financial services, mortgage lending, or other highly regulated industries ...

GTN Technical Staffing

Be Seen First

Project Manager Finance $75/hr

Phoenix, AZ · On-site

$75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Accounting, Finance, Information Systems, Business Administration, Computer Science, or a related field. * 7+ years of project management experience leading enterprise technology ...

NEOGOV

ERP Role and Workflow Analyst I/II

Mesa, AZ · On-site

... in Computer Science, Management Information Systems, Business Administration, Accounting, or ... or applications: financial management, payroll, time and attendance, procurement, or human ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of ... HR, finance, operations, etc. * Understanding of AI security and compliance frameworks.

Unitek Learning

People Data Scientist

Tempe, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve ... Computer Science, Analytics, Business, Human Resources, or a related quantitative field required;

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve ... Computer Science, Analytics, Business, Human Resources, or a related quantitative field required;

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of ... HR, finance, operations, etc. * Understanding of AI security and compliance frameworks.

Unitek Learning

People Data Scientist

Tempe, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve ... Computer Science, Analytics, Business, Human Resources, or a related quantitative field required;

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Showing results 21-40

All JobsComputer Science Finance JobsComputer Science Finance Jobs in Phoenix, AZ

Computer Science Finance information

See Phoenix, AZ salary details

$24.8K

$92K

$134.5K

How much do computer science finance jobs pay per year?

As of Aug 14, 2026, the average yearly pay for computer science finance in Phoenix, AZ is $91,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $108,200.00 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.

Can computer science work in finance?

Computer science professionals can work in finance as quantitative analysts, software developers, or data scientists, applying skills in programming, algorithms, and data analysis to financial modeling, trading systems, and risk management. Knowledge of financial concepts and tools like Python, R, or SQL is often required for these roles.

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 Phoenix, AZ?

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

What job categories do people searching Computer Science Finance jobs in Phoenix, AZ look for?

The top searched job categories for Computer Science Finance jobs in Phoenix, AZ are:

Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Phoenix, AZ as of August 2026, with employment types broken down into 3% Internship, 78% Full Time, 7% Part Time, and 12% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $91,975 per year, or $44.2 per hour.

Data Scientist

Champions Funding LLC

Gilbert, AZ • On-site

Full-time

Posted 21 days ago

Job description

Description:

• Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments.
• Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights.
• Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value.
• Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements.
• Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments.
• Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models.
• Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders.
• Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement.
• Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation.
• Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization.
• Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance.
• Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency.

Requirements:

• Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred.
• Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.
• Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks.
• Experience developing, deploying, and maintaining machine learning models in production environments.
• Strong understanding of cloud computing platforms and modern data science tools and technologies.
• Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations.
• Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams.
• Experience within financial services, mortgage lending, or other highly regulated industries preferred.
• Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus.