ZipRecruiter

Log In

1

Computer Science Finance Jobs in Florida (NOW HIRING)

Deloitte

Finance Analytics & AI Senior Consultant

Tampa, FL · On-site

$110K/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 ...

next page

Showing results 1-20

All JobsComputer Science Finance JobsComputer Science Finance Jobs in Florida

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 Jul 3, 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.

How is computer science used in finance?

Computer science in finance involves developing algorithms and software for trading, risk management, and data analysis. Professionals use programming languages like Python and tools such as machine learning models to optimize financial decision-making and automate processes.

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 finance and computer science a good combo?

Computer Science Finance combines technical programming skills with financial knowledge, making it valuable in areas like quantitative analysis, algorithmic trading, and financial modeling. Professionals in this field often use tools like Python, R, and SQL, and benefit from certifications such as CFA or FRM to enhance career prospects.

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

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

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science 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 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 Florida? For Computer Science Finance jobs in Florida, the most frequently searched job titles are:
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:
Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Florida as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $69,223 per year, or $33.3 per hour.
SR DATA AND ANALYTICS MANAGER

SR DATA AND ANALYTICS MANAGER

Wild Fork Foods

Doral, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Wild Fork Foods rating

6.2

Company rating: 6.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Senior Manager – Data and Analytics

Responsibilities
  • Lead, mentor, and develop a high-performing team of analytics and insights professionals.
  • Develop and execute a data and analytics roadmap aligned to Company's business priorities and IT strategy
  • Evaluate, implement and continuously improve analytical processes, reporting tools, AI capabilities and BI infrastructure to enhance clarity, efficiency, and scalability.
  • Promote a data-informed culture by advocating for the effective use of data and structured problem-solving methodologies in day-to-day decision making
  •  Partner with IT and business leaders to prioritize initiatives based on value, effort, and organizational readiness
  • Establish and maintain data governance practices that ensure data quality, consistency, and appropriate access across the organization
  • Oversee data integration across enterprise systems such as ERP, CRM, and commercial and supply chain platforms
  •  Engage with strategic leaders and C-suite to evangelize data & AI best practices and develop enabling relationships for the team
  • Drive adoption of analytics tools and platforms, including automation and AI, to enable data-driven decision making and forecasting.
  • Establish best practices for analytics methodologies, insight generation, and knowledge sharing across the organization.

Requirements
  • 12+ years of experience in strategy or analytics roles — ideally with a background in management consulting, investment banking, private equity, or high-growth technology companies
  • 5+ experience leading cross functional teams
  • 5+ experience directly leading technical teams, including software development
  • Experience in CPG, retail, food & beverage, or other consumer-focused industries is strongly preferred
  • Bachelor's or Master’s degree in information systems, Data Science, Finance, Business Analytics, Computer Science, or a related field
  • Advanced experience working with data & AI products
  •  Outstanding communication skills, able to craft compelling, data-backed narratives that influence business and technical stakeholders at all levels, including C-suite
  • Deep analytical fluency, comfortable operating across SQL, Python/R, spreadsheets, and data visualization tools to independently interrogate data and generate insights
  • Exceptional interpersonal skills with proven experience in relationship building and partnering. Must work well in both team and individual settings
  • Strong analytical and problem-solving abilities, with a track record of turning data and insights into actionable plans.
  • Advanced project management skills, including the ability to coordinate multiple initiatives and drive cross-functional collaboration.
  • Adaptability and resourcefulness in a fast-paced, dynamic environment.
  • Knowledge of advanced analytics, predictive modelling, automation, and emerging technologies.
  • Proven experience applying statistical modelling and machine learning techniques in production
  • Experience in working with cloud platforms, such as GCP, Azure, AWS, etc.
    EOE/Vets/Disability

What Wild Fork Foods employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply