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

AssetMark

Financial QA Analyst

Austin, TX · On-site

Required : • Bachelors Degree in Computer Science, Finance, Accounting, Mathematics, or a related field. • Strong math background or business and finance knowledge, including accounting ...

AssetMark

Financial QA Analyst

Austin, TX

$75K - $85K/yr

Bachelors Degree in Computer Science, Finance, Accounting, Mathematics, or a related field. (Required) * 3-5 years of professional experience in financial services, accounting, or tax planning, with ...

AssetMark, Inc.

Financial QA Analyst

Austin, TX · On-site

$75K - $85K/yr

Bachelors Degree in Computer Science, Finance, Accounting, Mathematics, or a related field. (Required) * 3-5 years of professional experience in financial services, accounting, or tax planning, with ...

Deloitte

Finance Analytics & AI Senior Consultant

Austin, TX · On-site

$115K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics * 4+ years of experience delivering analytics, machine learning ...

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All JobsComputer Science Finance JobsComputer Science Finance Jobs in Austin, TX

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 Jun 13, 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 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 CS useful in finance?

Computer Science (CS) is highly useful in finance, as it provides skills in programming, data analysis, and algorithm development that are essential for quantitative analysis, trading algorithms, and financial modeling. Many finance roles require knowledge of programming languages like Python or R, and familiarity with data structures and databases enhances efficiency in managing large datasets. CS expertise can improve decision-making and automate processes in financial services.

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

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

Can I make 200K with a computer science degree?

Computer science professionals can reach a $200,000 salary with experience in high-demand roles such as software engineering, data science, or cybersecurity, especially in senior or specialized positions. Achieving this often requires advanced skills, certifications, and working in competitive industries or locations with high living costs. Salary levels vary based on factors like location, company size, and individual 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 jobs make $1,000,000 a year?

In the field of computer science finance, roles such as senior quantitative analysts, hedge fund managers, and chief technology officers at large financial firms can earn $1,000,000 or more annually. These positions typically require advanced skills in programming, data analysis, and financial modeling, along with extensive experience and often performance-based bonuses or profit sharing.

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 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:
Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Austin, TX as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $91,817 per year, or $44.1 per hour.
Finance Machine Learning Engineer - Tech Lead

Finance Machine Learning Engineer - Tech Lead

Apple

Austin, TX • On-site

Full-time

Posted 23 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As a machine learning engineer in Finance, you'll play an integral role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple's Finance organization.
This role will be the technical lead for product cost, supporting our Operations Finance organization. You will work as part of a multi-discipline engineering pod with data and software engineers, product managers and program managers. Your ability to learn business processes and instill strong engineering practices into team machine learning processes will be critical. A key part of your role will be to operationalize AI solutions, bridging the gap between prototype and production to rapidly and reliably deliver value to the Finance organization.
At least 8 years experience in an engineering roleAt least one year experience effectively leading engineers and collaborating cross-functionally, translating technical concepts for diverse audiences and converting ideas into solutions with strong process and data understandingExperience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practicesExperience developing in Python while following and advocating for DRY principles, modularity, testing standards, version control, and code reviews. Experience with front end (.js experience)Experience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and familiarity working with cloud platforms (AWS, GCP, Azure)Graduate degree (computer science, data science, math, quantitative finance, or similar discipline)Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline)
Previous experience working in a corporate finance, accounting, or supply chain organizationUnderstanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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

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