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Computer Science Finance Jobs in Arizona (NOW HIRING)

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

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

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

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;

Osaic

Quantitative Analyst II

Scottsdale, AZ · Hybrid

$70K - $75K/yr

... Computer Science, or a related field. Basic Requirements: * 2-5 years of experience in business intelligence, analytics, finance, or a related quantitative role * Solid proficiency in data analysis ...

Advisor Group

Quantitative Analyst II

Scottsdale, AZ · On-site

$70K - $75K/yr

... Computer Science, or a related field. Basic Requirements: * 2-5 years of experience in business intelligence, analytics, finance, or a related quantitative role * Solid proficiency in data analysis ...

Procom

SAP CPM Functional Consultant

Chandler, AZ · On-site

$64.25 - $87.75/hr

Bachelor's degree in Computer Science, Software Engineering, or MIS * 5+ years' experience in SAP PS (Project Systems) and integration to AA (Asset Accounting) * Understanding of capital finance ...

Qualcomm

Multimedia Architect

Tempe, AZ · On-site

D. in Computer Science, Electrical Engineering, or related field. • 10+ years of Systems ... have a financial impact. • Advises multiple teams in design reviews to facilitate platform ...

Freeport McMoRan

Environmental Scientist II

Phoenix, AZ · On-site

$87K - $120K/yr

... Computer Science including Accounting and Finance, or Business Management or other Bachelor's degree, and at least three (3) years environmental or related experience; OR * Master's degree in a ...

Freeport McMoRan

Environmental Scientist II

Phoenix, AZ

$87K - $120K/yr

... Computer Science including Accounting and Finance, or Business Management or other Bachelor's degree, and at least three (3) years environmental or related experience; OR Master's degree in a related ...

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Computer Science Finance information

How is computer science used in finance?

Computer science in finance involves developing algorithms and software for trading, risk management, and data analysis. Professionals use programming languages like Python and tools such as machine learning models to optimize financial decision-making and automate processes.

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.

Is finance and computer science a good combo?

Computer Science Finance combines technical programming skills with financial knowledge, making it valuable in areas like quantitative analysis, algorithmic trading, and financial modeling. Professionals in this field often use tools like Python, R, and SQL, and benefit from certifications such as CFA or FRM to enhance career prospects.

Can you get a finance job with a computer science degree?

A computer science degree can qualify you for finance jobs such as quantitative analyst, financial software developer, or data analyst, especially if you have skills in programming, data analysis, and financial modeling. Many finance roles value technical expertise, coding skills, and knowledge of financial tools like Excel, SQL, or Python. Additional certifications like CFA or FRM can enhance prospects in finance positions requiring specialized financial knowledge.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

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 Arizona? For Computer Science Finance jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Arizona look for? The top searched job categories for Computer Science Finance jobs in Arizona are:
What cities in Arizona are hiring for Computer Science Finance jobs? Cities in Arizona with the most Computer Science Finance job openings:
Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Arizona as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.
People Data Scientist

People Data Scientist

Unitek Learning

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Company Description
As a leading healthcare education organization, Unitek Learning's family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment.
Job Description
The People Data Scientist applies advanced statistical, analytical, and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling, experimentation, machine learning, and workforce analytics to identify trends, assess organizational effectiveness, and inform strategies related to talent acquisition, employee engagement, retention, performance, workforce planning, and diversity initiatives. Working collaboratively with Human Resources, Talent Acquisition, Total Rewards, Learning and Development, Finance, and business leaders, the People Data Scientist translates complex workforce data into meaningful recommendations and decision-support tools. The position develops predictive models, conducts research and experimentation, and delivers data-driven insights that improve organizational performance while ensuring ethical, responsible, and compliant use of employee data.
Job Responsibilities:
  • Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions.
  • Facilitate and support HCM system implementations, enhancements, integrations, testing, and ongoing system optimization across HR, Payroll, Benefits, Talent, and Workforce Management functions.
  • Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve processes, and implement scalable workforce technology and analytics solutions.
  • Configure and maintain HRIS workflows, security roles, business processes, system controls, and reporting structures to support operational efficiency and data integrity.
  • Manage workforce data governance activities, including data validation, audits, compliance monitoring, and the maintenance of accurate and reliable employee data across multiple systems.
  • Develop workforce analytics and statistical analyses to identify trends, correlations, and actionable insights related to headcount, turnover, retention, recruiting, labor costs, engagement, diversity, and workforce planning.
  • Apply predictive analytics, forecasting techniques, and data modeling methodologies to support strategic workforce planning and organizational decision-making.
  • Design, develop, and maintain dashboards, scorecards, and executive reporting solutions that provide visibility into key workforce and business metrics.
  • Translate complex workforce data into clear visualizations, executive presentations, and data-driven narratives that connect people's metrics to business outcomes.
  • Create and maintain automated reporting processes, data integrations, and data pipeline solutions that improve efficiency, accuracy, and scalability of workforce reporting.
  • Partner with HR Centers of Excellence, including Talent Acquisition, Total Rewards, Learning and Development, and Employee Relations, to support analytical and reporting needs.
  • Identify opportunities to improve workforce processes, reporting capabilities, and HR technology solutions through data analysis, automation, and emerging technologies, including AI-enabled tools.

Qualifications
Education, Experience, Knowledge, Skills and Abilities:
  • Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field required; Master's degree preferred.
  • Minimum of 5 years of experience in data science, people analytics, workforce analytics, applied research, or a related analytical discipline.
  • Strong knowledge of statistical modeling, predictive analytics, machine learning, hypothesis testing, survey methodology, and experimental design.
  • Proficiency in SQL and at least one analytical programming language such as Python or R.
  • Experience working with business intelligence and data visualization tools to develop dashboards, reports, and executive presentations.
  • Demonstrated ability to analyze large and complex datasets and communicate findings to diverse audiences.
  • Knowledge of workforce analytics, organizational research methods, employee lifecycle metrics, and talent management concepts preferred.
  • Strong critical thinking, problem-solving, and analytical skills with the ability to independently manage complex projects and priorities.
  • Understanding of data governance, data privacy, responsible AI practices, and bias mitigation principles.
  • Excellent communication and consulting skills with the ability to influence decisions through data-driven insights and recommendations.

Additional Information
We Offer:
  • Medical, Dental and Vision starting the 1st of the month following 30 days of employment
  • 2 Weeks' starting Vacation per year. Increasing based on years of service with company
  • 10 paid Holidays and 1 Floating Holiday
  • 401K with a Company Match
  • Company Paid Life Insurance at 1x's your annual salary
  • Leadership development and training for career advancement
  • Tuition assistance and Forgiveness for you and your family up to 100% depending on program

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