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Computer Science Finance Jobs in Austin, TX (NOW HIRING)

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with ...

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with ...

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with ...

Analyst - Cloud FinOps

Austin, TX · On-site

$76K - $103K/yr

Masters, MBA, JD, MD) • Master's degree or Bachelor's degree in Management Information Systems, Computer Science, Finance, or related field. • 4+ years of experience in financial analysis ...

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with ...

Analyst - Cloud FinOps

Austin, TX · Hybrid

$76K - $103K/yr

Masters, MBA, JD, MD) Master's degree or Bachelor's degree in Management Information Systems, Computer Science, Finance, or related field. 4+ years of experience in financial analysis, preferably in ...

... Finance, or executive leadership teams to drive business outcomes Minimum Qualifications Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a ...

... Finance, or executive leadership teams to drive business outcomes Minimum Qualifications Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a ...

... Finance, or executive leadership teams to drive business outcomes Minimum Qualifications Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a ...

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred * Strong SQL and Python skills, with experience building scalable workflows, structured ...

FP&A Tech, Anaplan Director

Austin, TX · On-site

$155K - $410K/yr

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Finance, Risk Management/Insurance - Demonstrating strategic leadership in financial ...

... Computer Science, Engineering, or similar) from a well-regarded university * At least 2+ years of experience in a quantitative research role within finance or another data-intensive, technology ...

Showing results 41-60

Computer Science Finance information

See Austin, TX salary details

$24.8K

$91.8K

$134.3K

How much do computer science finance jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer science finance in Austin, TX is $91,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $108,000.00 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 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.

What are popular job titles related to Computer Science Finance jobs in Austin, TX?

For Computer Science Finance jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Computer Science Finance jobs in Austin, TX look for?

The top searched job categories for Computer Science Finance jobs in Austin, TX are:

What cities near Austin, TX are hiring for Computer Science Finance jobs?

Cities near Austin, TX with the most Computer Science Finance job openings:

Infographic showing various Computer Science Finance job openings in Austin, TX as of August 2026, with employment types broken down into 72% Full Time, 7% Part Time, and 21% Contract. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $91,817 per year, or $44.1 per hour.

AMP Engineering Program Manager - Strategic Data Solutions

Apple

Austin, TX

$166K - $250K/yr

Full-time

Medical, Dental, Retirement

Posted 14 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just craft products-they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple’s Strategic Data Solutions (SDS) team has an immediate opening for an outstanding Program Manager (PM) to help drive strategy and technical development of our fraud decisioning and decision automation programs, which support Apple Media Products (AMP) and Commerce business.
Description
PMs conceptualize, build, and deliver analytic solutions that enable Apple to provide exceptional products and services to its customers and business partners. They partner with business, engineering, and operations teams to structure and drive cross-functional engineering, machine learning, and operations initiatives to detect and mitigate fraud, generate revenue, and streamline business operations.
Given the adversarial nature of fraud and complexity of Apple’s diverse business problems, we are constantly challenged to innovate together, drawing from diverse perspectives as we design and build new solutions. PMs play a critical role in the team’s success by understanding business priorities, establishing team strategy, ensuring good communication, building a deep understanding of our systems & analytics, bringing structure and clarity to uncertain situations with competing priorities, and driving progress towards deliverables. Doing all of this, while building deep business relationships focussing on teamwork and innovation in order to drive results will be essential. This role provides an opportunity to exercise interpersonal, organizational, technical, analytical and leadership skills.
The PM role includes:
• Working collaboratively with our team of data scientists, engineers, analysts, and program managers
• Developing partnerships across a variety of business and engineering teams across Apple
• Identifying new business opportunities and developing analytic solutions with clear product functional requirements and technical implementation roadmaps.
• Prioritizing team work to balance impact, cost, resourcing, timeline, success likelihood, and risk
• Providing day-to-day project management that includes: coordinating activities by internal & partner teams, tracking progress towards milestones, continuously adapting plans to changes, and keeping teams and leadership informed
• Getting hands on with the details of engineering and analytical projects, including system / data design, fraud logic, key performance metrics, and the full software development release lifecycle
• Working under limited supervision, using good judgment about when to seek guidance
Preferred Qualifications
Ability to effectively communicate at the right level of detail for each project stage and audience
Ability to manage conflicting ideas, to ensure all voices are heard, and to own the hard calls
Previous experience in engineering, data analysis, machine learning or fraud detection/response
Previous experience in payments, finance or digital experience would be beneficial
Minimum Qualifications
BS / MS in any analytical, quantitative, or technical field (engineering, math, computer science, finance, analytics, statistics, or similar), or equivalent experience
Ability to perform business discovery, simplify and define problems, extract key information, and propose innovative solutions
Ability to grasp the details of complex business / engineering / analytic problems and to provide in-depth evaluations
Possess a strong sense of project risk including the ability to predict, notice, clarify, assess, track, and mitigate
Experience structuring and leading large cross-functional technical / analytic projects
Experience aligning project schedules across distributed engineering and QA teams through collaboration and influence
Ability to drive change through positive influence of co-workers, leaders, and business partners
Experience motivating and empowering others to do the right things first
Strong interpersonal skills with ability to connect with individuals at all levels and develop close partnerships
Inquisitiveness and a desire for continued self-improvement and development of new skills
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $250,700, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976