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

Eka Finance

Quantitative Research Analyst

Austin, TX

... 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 ...

Marvell

Front End CAD Principal Engineer

Austin, TX · On-site

What We're Looking For Bachelor's degree in Computer Science, Electrical Engineering or related ... Our offerings are built around four key pillars: financial well-being, family support, mental and ...

Apple

Applied Scientist

Austin, TX · On-site

You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily ... Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science ...

Computer Futures

Software Development Sr. Engineer

Austin, TX · On-site

$121K - $160K/yr

A robust and financially strong business we have grown organically from our first office in London ... Preferences Bachelor's/MS degree in mathematics, computer science, or related discipline preferred

Intel

Middleware Development Engineer

Austin, TX · On-site

Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM ... financial performance, and reinvigorating x86 leadership. Join us as we transform the data center ...

CAPPS

THC - FAD Manager (Manager IV) 26-78

Austin, TX · On-site

... Computer Science, Computer Information Systems, Management Information Systems, or a closely related field; Experience presenting financial information to executive leadership or legislative ...

CAPPS

THC - FAD Manager (Manager IV) 26-78

Austin, TX · On-site

... Computer Science, Computer Information Systems, Management Information Systems, or a closely related field; • Experience presenting financial information to executive leadership or legislative ...

Central Health

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering or related quantitative discipline. PREFERRED EDUCATION: * Master's Degree Master ...

Computer Futures

Principal Software Engineer

Austin, TX

$133K - $179K/yr

A robust and financially strong business we have grown organically from our first office in London ... A degree(s) in computer science or relevant field may be substituted for certain years of ...

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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.

Quantitative Research Analyst

Eka Finance

Austin, TX

Full-time

Posted 6 days ago

Job description

Austin, TX (Candidates must be based in Austin or open to relocating)

We are a fast-growing quantitative investment firm focused on generating consistent, risk-adjusted performance across global markets. The team combines deep quantitative expertise with proprietary research technology that allows new ideas to be tested quickly and deployed efficiently. This is an opportunity to join a highly collaborative environment with clear progression into senior research and portfolio management roles.

The Role

As a Quantitative Research Analyst, you will contribute directly to the research and development of systematic trading strategies. You will work closely with portfolio managers, developers, and other researchers to turn data into actionable trading insights while continuously expanding your understanding of markets and quantitative methods.

Key Responsibilities

  1. Enhance and refine existing trading strategies to improve performance and scalability
  2. Research and develop new models, signals, and techniques designed to increase risk-adjusted returns
  3. Work closely with portfolio managers, researchers, and developers to translate complex research questions into practical, data-driven solutions
  4. Identify and evaluate new datasets, tools, and methodologies that can provide a competitive advantage
  5. Stay current with academic research and industry developments, and convert promising ideas into revenue-generating strategies

Requirements

  1. Strong quantitative and analytical skills with experience working on large and complex datasets
  2. Curious and adaptable mindset, with the ability to test new approaches and challenge assumptions when data supports it
  3. Solid programming and data analysis skills in Python and/or R
  4. Exposure to machine learning, statistical modelling, or optimisation techniques is a plus
  5. Bachelor’s degree in a technical discipline (e.g., Mathematics, Physics, Computer Science, Engineering, or similar) from a well-regarded university
  6. At least 2+ years of experience in a quantitative research role within finance or another data-intensive, technology-driven environment

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