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Computer Science Finance Jobs in Miami, FL (NOW HIRING)

Chewy

Sr. Oracle EPM Administrator

Plantation, FL · On-site +1

$100K - $160K/yr

Bachelor's degree in information systems, Computer Science, Finance, Accounting, or a related field. * 7+ years of experience administering Oracle EPM or Hyperion Planning solutions. * Hands-on ...

Chewy

Sr. Oracle EPM Administrator

Plantation, FL · On-site

$100K - $160K/yr

Bachelor's degree in information systems, Computer Science, Finance, Accounting, or a related field. * 7+ years of experience administering Oracle EPM or Hyperion Planning solutions. * Hands-on ...

Alpaca

Securities Finance Analyst

Miami, FL · On-site +1

Bachelor's degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field. * 1-3 years of experience in a technical or trading role, ideally with some ...

OpenFX

Data Science & Analytics Lead

Miami, FL · On-site

Risk & Financial Analytics: * Build analytics models for pricing optimization and financial ... Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. * 6+ years of ...

AeroVironment

Enterprise Analyst - Finance

Sunrise, FL · On-site

$100K - $153K/yr

Bachelor's degree in computer science, Information Systems, or related field. * Deep Finance and Accounting knowledge. * 8-10+ years of experience in ERP implementations, business analysis, or ...

Pwc

FP&A Tech, Anaplan Director

Miami, FL · 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 ...

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All JobsComputer Science Finance JobsComputer Science Finance Jobs in Miami, FL

Computer Science Finance information

See Miami, FL salary details

$23.9K

$88.6K

$129.6K

How much do computer science finance jobs pay per year?

As of Jul 3, 2026, the average yearly pay for computer science finance in Miami, FL is $88,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,700.00 and $104,300.00 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 Miami, FL? For Computer Science Finance jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Miami, FL look for? The top searched job categories for Computer Science Finance jobs in Miami, FL are:
Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Miami, FL as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $88,597 per year, or $42.6 per hour.

Oracle Cloud Integration Lead

ITrade STEM

Fort Lauderdale, FL • On-site

Full-time

Posted 16 days ago

Be an early applicant

Job description

At ITRADE STEM, we help create jobs and support the future of industries like space, technology, energy, and manufacturing. We do this by creating programs that teach skills and support sustainable growth. Join us on our mission to Redefine STEM!

Job Overview:

We are seeking a dynamic Oracle Cloud Integration Lead to join our premier client in Fort Lauderdale, FL. In this pivotal role, you will spearhead the strategic implementation and optimization of Oracle Fusion Cloud applications, with a focus on Financials, Procurement, and Project Management modules. As a key technical leader, you'll bridge the gap between business stakeholders and technical teams, architecting integrated solutions that drive organizational success.

The ideal candidate brings deep expertise in Oracle Fusion applications, coupled with strong enterprise architecture acumen and proven leadership in solution design. This role offers an exceptional opportunity to shape enterprise-level solutions while working with cutting-edge cloud technologies.

RESPONSIBILITIES:

  • Lead strategic initiatives for Oracle Fusion Cloud modules implementation, focusing on Financial, Procurement, and Project solutions that drive business transformation
  • Partner with key stakeholders to translate complex business requirements into elegant Oracle Fusion solutions that optimize operational efficiency
  • Design and implement robust financial system configurations leveraging Oracle Fusion best practices to enhance process automation
  • Drive continuous improvement through hands-on configuration, testing, and innovative problem-solving of Oracle Fusion modules
  • Architect specialized solutions for construction industry requirements, with expertise in job costing, project billing, and project management workflows
  • Spearhead the development of seamless integrations between Oracle Fusion and third-party platforms using cutting-edge tools like OIC, REST APIs, and modern middleware solutions
  • Build and maintain strong partnerships with cross-functional teams to deliver secure, scalable integrations and comprehensive reporting solutions
  • Create impactful business insights through advanced reporting capabilities using OTBI, BI Publisher and other analytics platforms
  • Orchestrate and optimize integration ecosystems between Oracle Fusion and construction-specific software, payroll systems, and banking platforms
  • Champion data governance initiatives to ensure highest standards of data quality and system performance
  • Drive architectural excellence in Oracle Fusion ERP implementations, providing strategic oversight for transformational initiatives
  • Lead cross-functional teams in defining and executing project roadmaps that deliver measurable business value
  • Build and manage strategic relationships with technology partners and vendors to maximize system capabilities
  • Enable organizational success through comprehensive documentation, architectural leadership, and engaging training programs
  • Contribute to additional strategic initiatives as needed to support business growth

REQUIREMENTS:

  • 5+ years of experience in finance systems support, with a strong background in ERP and accounting systems
  • Strong expertise in Oracle Fusion Financials, Procurement, and Project Management modules
  • Technical aptitude with proven ability to support complex finance systems
  • Bachelor's degree in Information Systems, Computer Science, Finance, or related field

TECHNICAL EXPERTISE:

  • Proficiency in Oracle Integration Cloud (OIC), REST APIs, and modern middleware solutions
  • Experience with BI Publisher, OTBI, and Oracle Cloud security configurations
  • Experience implementing cloud-based ERP solutions in enterprise environments
  • Hands-on experience with data models and integration architectures

ADDITIONAL TECHNICAL REQUIREMENTS:

  • Experience with Oracle Cloud Infrastructure (OCI) and Oracle Application Express (APEX)
  • Knowledge of cloud security best practices and SOC compliance requirements
  • Familiarity with DevOps practices and CI/CD pipelines
  • Experience with Python, SQL, and PL/SQL for custom solutions

SOFT SKILLS:

  • Strong analytical and problem-solving capabilities
  • Excellent communication skills and ability to explain technical concepts to non-technical stakeholders
  • Demonstrated leadership in cross-functional initiatives
  • Solid understanding of financial processes and project management

PREFERRED QUALIFICATIONS:

  • Cloud ERP certifications (Oracle Cloud Financials, Procurement Cloud, PPM Cloud)
  • Experience with emerging technologies like AI/ML in ERP systems
  • Experience with cloud-native development and microservices architecture