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Computer Science Finance Jobs in Florida (NOW HIRING)

S.) from a four year college or university with a major in computer science, finance or mathematics Must have 4+ years work experience in a QA role (Prior experience working in major financial ...

26-27 High School Math Teacher

Miami, FL

$45K - $58K/yr

Coursework will integrate career and technical education (CTE) strands (e.g., financial literacy, computer science foundations, engineering applications, and data science) and problem‑based ...

26-27 High School Math Teacher

Miami, FL · On-site

$45K - $61K/yr

Coursework will integrate career and technical education (CTE) strands (e.g., financial literacy, computer science foundations, engineering applications, and data science) and problem-based learning ...

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Computer Science Finance information

See Florida salary details

$18.7K

$69.2K

$101.3K

How much do computer science finance jobs pay per year?

As of Jun 8, 2026, the average yearly pay for computer science finance in Florida is $69,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $81,500.00 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.

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.

What job categories do people searching Computer Science Finance jobs in Florida look for? The top searched job categories for Computer Science Finance jobs in Florida are:
What cities in Florida are hiring for Computer Science Finance jobs? Cities in Florida with the most Computer Science Finance job openings:
Infographic showing various Computer Science Finance job openings in Florida as of May 2026, with employment types broken down into 59% Full Time, 38% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $69,223 per year, or $33.3 per hour.

Associate Professor or Full Professor in Computer Science

ST THOMAS UNIVERSITY INC

Miami Gardens, FL • On-site

Full-time

Posted just now


Job description

Located in sunny Miami, Florida, St. Thomas University is a private, non-profit university that offers 39 undergraduate, graduate, and postgraduate degrees at its picturesque 144-acre campus and through distance learning. Its academic offerings include one of the oldest (and most highly ranked) undergraduate programs in Sports Administration in the country. STU has been ranked #1 by U.S. News & World Report in Social Mobility for regional universities in the South, which means it takes students from the lowest financial strata and catapults them to much higher financial strata in only ten years. St. Thomas University is the only Catholic Archdiocesan-sponsored university in Florida, and one of the only eight Archdiocesan universities nationwide.

Position Summary:

A Computer Science faculty member to serve as Program Director and to lead, manage, and teach in the Bachelor of Science of Computer Science program as well as the Master of Science in Data Science program and/or the Master of Science in Cybersecurity & Analytics program.

ESSENTIAL FUNCTIONS:
  • Direct the University's computer science programs. This includes ongoing management functions such as class scheduling, selection of course materials, hiring adjuncts, as well as evaluations of courses and faculty.
  • Develop new program initiatives in AI and IT.
  • Teach undergraduate lectured Computer Science courses such as Data Structures and Algorithms, Database, Software Engineering, and programming in C++, Java, and Python.
  • Teach graduate lectured data science courses such as Data Engineering, Applied Machine Learning, and Statistical Methods, or cybersecurity courses such as Cybersecurity Technologies and Ethical Hacking.
  • Carry a minimum class load of 12 credits per semester.
  • Available for a minimum of 12 hours a week for office hours.
  • Other Computer Science and Data Science teaching, research, and advising duties as assigned.

REQUIRED EDUCATION AND EXPERIENCE:

  • PhD in Computer Science, Computational Science, Computer Engineering, Data Science or a closely related field.

  • Qualified experience teaching and working with undergraduate and graduate students.

PREFERRED EDUCATION AND EXPERIENCE

  • Record of publication and research in data science or cybersecurity.

  • Experience with online teaching delivery.

POSITION QUALIFICATIONS:

  • Familiarity with current developments in AI and cloud technologies.

  • Able to program and teach in Python, Java, and C++.

  • Comfortable with several classroom technological applications.Â