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

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 ...

RumbleOn

Senior Financial Analyst

Chandler, AZ

$82K - $102K/yr

BA/BS in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, and Computer Science) or equivalent. Key Responsibilities: * Lead regional financial and ...

PROLIM Global Corporation

RPA Developer

Phoenix, AZ · On-site

Bachelor's Degree in IT, Computer Science or Finance or related field . Experience in working as RPA Controller in BluePrism or UiPath or other RPA tools. . 6+ years of related experience in ...

RideNow Powersports

Senior Financial Analyst

Chandler, AZ · On-site

$82K - $102K/yr

BA/BS in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, and Computer Science) or equivalent. Key Responsibilities: * Lead regional financial and ...

Saransh Inc

Product Manager

Phoenix, AZ · On-site

Knowledge of financial services industry, banking industry, and associated products is a plus * Bachelor's degree in business administration, Industrial Engineering, Computer Science, or Marketing is ...

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Computer Science Finance information

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$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.

Quantitative Analyst II

Osaic

Scottsdale, AZ • Hybrid

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

Osaic rating

8.1

Company rating: 8.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Current Employees and Contractors Apply HereOsaic Careers

Corporate Finance Opportunity in Financial Services

Quantitative Analyst II

Location(s):

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255

Osaic is not considering remote candidates at this time.

Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office. Applicants should be located at one of our hubs listed above and must be willing to work this schedule.

Role Type: Full time

Salary: $70,500 - $75,000 per year + annual performance based bonus

Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, licensure, experience, and education.

Our competitive compensation is just one component of Osaic's total compensation package. Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days and much more. To view more details of what you can look forward to, visit our careers page:https://careers.osaic.com/Creative/Benefits.

Summary:

We are looking for a skilled, self-directed analyst to join the Quantitative Analytics team! This role contributes to enterprise reporting, strategic analysis, and insight delivery that supports how the firm measures and manages performance. As a mid-level analyst, you will independently own analytical projects, partner with business stakeholders, and help strengthen the team's processes and deliverables. This is an individual contributor role with growing influence and ownership.

Responsibilities:

  • Own and execute analytical projects from requirements gathering through delivery, ensuring quality and timeliness

  • Build and maintain dashboards, reports, and data models that support recurring and ad hoc business needs

  • Conduct structured analyses to answer business questions, identify trends, and surface actionable insights

  • Partner with Finance and business stakeholders to understand requirements, clarify assumptions, and present findings

  • Contribute to team standards for data quality, documentation, version control, and analytical best practices

  • Support the development of scalable, repeatable solutions that reduce manual effort and improve efficiency

  • Begin mentoring junior analysts by sharing knowledge, reviewing work, and modeling strong analytical habits

  • Communicate findings clearly to both technical and non-technical audiences through written summaries and presentations

  • All other duties assigned.

Education Requirements:

Master's Degree in Economics, Statistics, Data Science, Computer Science, or a related field preferred, Bachelor's Degree from accredited university in Economics, Statistics, Data Science, 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, querying, and working with large and complex datasets

  • Working proficiency with analytics and data tools such as SQL, Snowflake, Python, R, Power BI, or similar platforms

  • Ability to structure analyses independently, manage competing priorities, and deliver reliable results

  • Effective communication skills with the ability to translate data into business-relevant insights

  • Familiarity with applying analytical rigor, including hypothesis-driven analysis and data validation practices

  • Comfort working across teams and engaging with business stakeholders on requirements and deliverables

Preferred Requirements:

  • Experience in financial services, wealth management, or other regulated and complex business environments

  • Understanding of financial metrics, reporting structures, and performance measurement concepts

  • Exposure to AI, machine learning, or advanced analytics techniques applied to business problems

  • Experience with automation tools, workflow optimization, or process improvement initiatives

Current Employees and Contractors Apply Here

What Osaic employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Osaic

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Phoenix, AZ, US

Year founded

2016

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