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Computer Science Banking Jobs in Georgia (NOW HIRING)

Truist

Decision Scientist III

Atlanta, GA · On-site

... Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering • 2+ years of decision science/analytics project management experience with a diverse ...

Truist

Decision Science Lead

Atlanta, GA

... Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience 3. 4+ years of decision science ...

Avery Partners

Be Seen First

Bank Information Security Manager

Atlanta, GA · On-site

$70 - $80/hr

The ideal candidate will have a Bachelor's Degree in Information Security, Computer Science, or a ... banking industry. A CISSP, CISM, or CISA Certification is preferred. This role will develop ...

US Bank

Financial Data Scientist

Atlanta, GA

... computer science, engineering or applied mathematics, or equivalent work experience - Six to eight ... Bank location three (3) or more days per week. If there's anything we can do to accommodate a ...

U.S. Bank

Financial Data Scientist

Atlanta, GA · On-site

... computer science, engineering or applied mathematics, or equivalent work experience - Six to eight ... Bank location three (3) or more days per week. If there's anything we can do to accommodate a ...

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$15.9K

$52.8K

$110.1K

How much do computer science banking jobs pay per year?

As of May 31, 2026, the average yearly pay for computer science banking in Georgia is $52,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,511.00 and $73,137.00 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.
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Computer Science Banking jobs near you
Data Scientist with Banking & Finance Experience

Data Scientist with Banking & Finance Experience

Cortex consultants LLC

Atlanta, GA • On-site

Contractor

Posted 19 days ago

Job description

Title: Data Scientist with Banking & Finance Experience
Location: Atlanta, GA
Work Mode: Hybrid ( 3 days from office) (T, W, T)
Over all Years of experience: Min 12+Years
Must have:
  • Python
  • Jupyter
  • TensorFlow
  • Keras
  • ScikitLearn
Experience needed
  • BS degree in a STEM major or equivalent discipline
  • 7-8 years of experience in a related analytical role
  • Overall 12+ Years of experience
  • Proven track record of designing and developing predictive models in real-world applications, preferably Banking and Finance domain
  • Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Good to have experience
  • Cloud certification strongly preferred
  • Additional role-based certifications may be required depending upon region/BU requirement
  • Passion for data science, data mining, machine learning and experience with big data architectures and methods
  • Past Experience in SAS or Operations Research models
Roles and Responsibility
  • Entity Resolution and Innovation, manipulate large data sets,
  • Integrate diverse data sources, data types and data structures into solutions under management guidance.
  • Analytical approaches to meet business requirements and
  • explore integrating AI methodologies within Entity Resolution System, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
  • Qualification
  • Proven track record of designing and developing predictive models in real-world applications
  • Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
  • Additional role-based certifications may be required depending upon region/BU requirements
  • Passion for data science, data mining, machine learning and experience with big data architectures and methods
  • A master's degree in a quantitative field (Statistics, Mathematics, Economics)
Responsibilities
  • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
  • Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise
  • Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities
  • Lead the development or projects with multiple deliverables, leveraging business and technical expertise
  • Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
  • Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
  • Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
  • Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy