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Computer Science Banking Jobs in Florida (NOW HIRING)

Banking & Financial Services * Insurance Education Requirements * Bachelor's/master's in computer science or equivalent (can be marked optional or flexible) Certifications * GCP Professional Cloud ...

... Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. Previous experience in the banking or fin-tech industry OTHER JOB ...

Domain Retail (catalog, order, pricing, search data) Banking & Financial Services Insurance Education Requirements Bachelor's/master's in computer science or equivalent (can be marked optional or ...

As a Data Scientist Lead within the Commercial & Investment Bank with the Healthcare Provider team ... Computer Science, Mathematics, Operations Research, Data Science. • 7+ years of experience in ...

As Data Scientist Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data ...

As Data Scientist Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data ...

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Computer Science Banking information

See Florida salary details

$16.3K

$54.1K

$112.7K

How much do computer science banking jobs pay per year?

As of Jun 1, 2026, the average yearly pay for computer science banking in Florida is $54,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,262.00 and $74,880.00 per year, depending on experience, location, and employer.

What is a Computer Science Banking job?

A Computer Science Banking job involves applying computer science principles to develop, maintain, and secure banking systems. Professionals in this field work on digital banking platforms, cybersecurity, data analytics, and financial software development. They help banks enhance customer experience, prevent fraud, and optimize operations through technology. Roles may include software developers, cybersecurity analysts, data scientists, and IT specialists in financial institutions. These jobs require expertise in programming, databases, encryption, and financial technologies.

What are the key skills and qualifications needed to thrive in the Computer Science Banking position, and why are they important?

To excel in a Computer Science Banking role, you need a strong background in computer science principles, programming, and data analysis, ideally supported by a relevant degree or certifications. Familiarity with banking software platforms, cybersecurity protocols, databases, and tools like Python, SQL, or Java are often required. Strong problem-solving skills, attention to detail, and clear communication help you work effectively with both technical teams and finance professionals. These competencies ensure secure, efficient, and innovative technology solutions within the fast-paced and highly regulated banking sector.

What types of projects do professionals in Computer Science Banking typically work on?

Professionals in Computer Science Banking often work on projects such as developing secure online banking platforms, implementing fraud detection systems, optimizing transaction processes, and managing large financial data sets. They may also support regulatory compliance projects and enhance cybersecurity measures to protect sensitive customer information. Collaboration with financial analysts, management, and IT teams is common, as is involvement in implementing emerging technologies like artificial intelligence or blockchain. This dynamic environment provides valuable experience across technical and financial domains and supports career advancement into senior technical or leadership roles.
What are popular job titles related to Computer Science Banking jobs in Florida? For Computer Science Banking jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Computer Science Banking jobs in Florida look for? The top searched job categories for Computer Science Banking jobs in Florida are:
Infographic showing various Computer Science Banking job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $54,076 per year, or $26 per hour.
Data Scientist/Senior Data Scientist (Atlanta/Miami)

Data Scientist/Senior Data Scientist (Atlanta/Miami)

Federal Reserve Bank of Richmond

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

CompanyFederal Reserve Bank of AtlantaAs an employee of the Atlanta Fed, you will help support our mission of promoting the stability and efficiency of the U.S. economy and financial system. Your work will affect the economy of the Southeast, the United States, and the world. The work we do here is important, and how we do it is just as important as what we do. We live our values of integrity, excellence, and respect every day. We do the right thing, we do things right, and we treat people right. A career at the Federal Reserve Bank of Atlanta gives you the chance to do work that touches lives and helps communities prosper.
The Bank believes in flexibility to balance the demands of work and life while also recognizing the necessity of connecting and collaborating with our colleagues in person. Onsite work is an essential function of this position, and you are required to be onsite according to the schedule set by your management.
This position can be located in either Atlanta or Miami and based on experience, we are looking for either a Data Scientist or a Sr. Data Scientist.

Summary
Creates descriptive and diagnostic analytics that explore data and relationships between involved entities and events, culminating in predictive or prescriptive analytics. Models complex problems by discovering insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques. Facilitates obtaining data from a variety of different sources, in the right formats, assuring that it adheres to data quality standards, as well as resolving any information flow and content issues. Proficient at architecting, integrating, and preparing large, varied datasets. Consults and advises on best practices for data manipulation. Develops or assists in the development of internal MIS tools and other technologies to support risk identification and enhancing processes. Creates visualizations to facilitate information sharing. Also, works closely with clients and IT teams to turn data into critical information that can be used to make sound business decisions. Contributes to building perspectives on industry modeling approaches for a variety of business problems. Serves as an internal consultant to staff, Department officers, and Reserve Bank management. Has an understanding of economics, finance, mathematics,

and/or computer science.

Key Responsibilities:

  • Conducts complex data analysis and modeling using statistical, econometric, or AI/ML techniques to meet business needs.
  • Develops analytics and MIS with transparent documentation supporting the development and uses of the tools in line with internal policies and procedures. In addition, appropriately tests, maintains and monitors the tool or develop a plan for these responsibilities to be covered. May also review other internally developed tools for quality assurance purposes. Positions in Supervision & Regulation will develop SupTech technologies.
  • Leverages Generative AI tools to perform tasks efficiently while also ensuring quality and reliability of output.
  • Understands key business drivers and advises on best ways to manipulate data to provide insights and outcomes. Identifies available and relevant data, including internal and external data sources, leveraging new data collection processes and channels. Models and frames meaningful business scenarios and the impact on critical business processes and/or decisions.
  • Works with stakeholders and analysts to identify business requirements and expected outcomes. Works iteratively with customers, validating findings along the way and seeking and responding to feedback.
  • Develops experimental design approaches to validate or test hypotheses.
  • Creates visualizations to help end-users understand and use results of analysis/models/tools.
  • Works to design, develop, and implement data architecture strategies and solution recommendations in support of business strategies.
  • Provides business metrics for projects to show improvements, and monitors improvements both initially and over multiple iterations.
  • Collaborates with data stewards to ensure that information used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements
  • Serves as a resource in quantitative analytics for Bank, department management, and senior staff. Maintains proficiency in advanced statistical/analytical methods and methodologies; and monitors white papers, industry developments and other key knowledge sources.
  • Identifies opportunities for reuse of coding assets through modular code design and sharing through platforms such as Gitlab.
  • Working knowledge of more than one design methodology and framework and Data Architecture principles

Education:

  • Data Scientist: Bachelor's Degree or 4 years equivalent experience, Masters Degree preferred
  • Sr. Data Scientist: Master's Degree or 5 years of equivalent experience in Mathematical, Economics, or Computer Science

Experience:

  • Data Scientist: 3+ years of experience
  • Sr. Data Scientist: 5+ years of experience

Qualifications:

  • Data and General Architecture Principles
  • Emerging Technologies, Strategic and Analytical skills
  • Quantitative skills, advanced degrees in STEM fields and knowledge of statistical/econometric/AI/ML methods for developing models and tools
  • Data Management Standards and Frameworks
  • Data Analytical & Business Intelligence Tools
  • Proficient with at least one widely used statistical or data science programming language (such as R or Python)

Our total rewards program offers benefits that are the best fit for you at every stage of your career:

  • Comprehensive healthcare options (Medical, Dental, and Vision)
  • 401K match, and a fully funded pension plan
  • Paid vacation and holidays; flexible work environment
  • Generously subsidized public transportation
  • Annual tuition reimbursement
  • Professional development programs,trainingand conferences
  • And more...

This is not necessarily an exhaustive list of all responsibilities, duties, performance standards or requirements, efforts, skills or working conditions associated with the job. While this is intended to bean accuratereflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed when circumstances change (e.g.emergencies, rush jobs, change in workload or technological developments).

The Federal Reserve Bank of Atlanta is an equal opportunity employer.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryData Analytics Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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