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Bank Computer Science Jobs in Arkansas (NOW HIRING)

Simmons Bank

IT Business Partner

Little Rock, AR · On-site

$125 - $150/hr

Education and Experience Bachelor's degree in Business, Information Systems, Computer Science ... General banking application knowledge preferred. Other This is not intended to be a comprehensive ...

Simmons Bank

IT Business Partner

Pine Bluff, AR · On-site

Bachelor's degree in Business, Information Systems, Computer Science, Finance, Accounting, or ... General banking application knowledge preferred. Other This is not intended to be a comprehensive ...

Simmons Bank

IT Business Partner

Springdale, AR · On-site

Bachelor's degree in Business, Information Systems, Computer Science, Finance, Accounting, or ... General banking application knowledge preferred. Other This is not intended to be a comprehensive ...

Simmons Bank

IT Business Partner

Fayetteville, AR · On-site

Bachelor's degree in Business, Information Systems, Computer Science, Finance, Accounting, or ... General banking application knowledge preferred. Other This is not intended to be a comprehensive ...

Simmons Bank

IT Business Partner

Little Rock, AR · On-site

Bachelor's degree in Business, Information Systems, Computer Science, Finance, Accounting, or ... General banking application knowledge preferred. Other This is not intended to be a comprehensive ...

Simmons Bank

IT Business Partner

Little Rock, AR · On-site

Bachelor's degree in Business, Information Systems, Computer Science, Finance, Accounting, or ... General banking application knowledge preferred. Other This is not intended to be a comprehensive ...

Sony

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... numbers, bank details, or copies of identification documents) during the initial stages of our ...

Sony

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... numbers, bank details, or copies of identification documents) during the initial stages of our ...

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Bank Computer Science information

What is a bank computer scientist?

A Bank Computer Scientist is a technology professional who specializes in designing, developing, and maintaining computer systems and software used within the banking sector. Their responsibilities include ensuring the security of financial transactions, developing algorithms for fraud detection, and implementing reliable banking applications. They work closely with IT and security teams to keep banking systems running efficiently and securely. Their expertise helps banks adapt to new technologies and meet regulatory requirements.

How does a bank computer scientist typically collaborate with other departments in a banking environment?

In a banking environment, Computer Science professionals frequently work alongside teams from risk management, compliance, operations, and customer service to develop, test, and maintain secure and efficient banking systems. Collaboration often involves gathering requirements, troubleshooting issues, and integrating new technologies to support business goals. Effective communication and understanding of banking regulations are key, as projects may involve cross-functional meetings and ongoing coordination to ensure technological solutions align with industry standards and client needs.

What are the key skills and qualifications needed to thrive as a bank computer scientist, and why are they important?

To succeed as a Bank Computer Science professional, you need a solid background in computer science, programming languages (such as Java or Python), and knowledge of banking systems, often supported by a relevant degree. Familiarity with core banking software, cybersecurity practices, databases, and sometimes certifications like CISSP or CISM are typically required. Strong analytical thinking, attention to detail, and effective teamwork help address complex technical challenges and ensure secure, efficient operations. These skills are crucial for maintaining robust financial systems, safeguarding sensitive data, and supporting innovative banking solutions.

What is the difference between Bank Computer Science vs Bank IT Specialist?

AspectBank Computer ScienceBank IT Specialist
Required CredentialsBachelor's in Computer Science or related field, certifications like CompTIA, CiscoSimilar certifications, often with additional focus on network or security certifications
Work EnvironmentBank IT departments, software development teams, cybersecurity unitsBank branches, data centers, IT support teams within banks
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, financial service providers
Common Search & Comparison IntentUnderstanding roles in banking tech, career paths in bank ITJob responsibilities, certifications, and skills for bank IT roles

Bank Computer Science focuses on software development, system analysis, and cybersecurity within banks, often requiring programming skills and advanced technical knowledge. Bank IT Specialist typically handles hardware, network support, and troubleshooting in banking environments. Both roles share similar credentials and industry usage but differ in daily responsibilities and technical focus.

Can someone who studies computer science work in a bank?

Yes, a computer science graduate can work in a bank, often in roles such as software developer, cybersecurity analyst, or data analyst. Banks rely on computer science skills for developing financial software, managing data security, and maintaining banking systems, often requiring knowledge of programming languages, databases, and security protocols.

How is computer science used in banking?

Bank computer science professionals develop and maintain software systems that support banking operations, including transaction processing, fraud detection, and data security. They also work with databases, cybersecurity measures, and financial algorithms to ensure efficient and secure banking services.

What positions would you work in a bank with a computer science degree?

With a computer science degree, you can work in various bank roles such as software developer, systems analyst, cybersecurity specialist, data analyst, or IT support. These positions involve developing banking applications, managing security protocols, analyzing financial data, and maintaining IT infrastructure, often requiring knowledge of programming languages, databases, and security tools.

What are popular job titles related to Bank Computer Science jobs in Arkansas?

For Bank Computer Science jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Bank Computer Science jobs in Arkansas look for?

The top searched job categories for Bank Computer Science jobs in Arkansas are:

Bank Computer Science jobs near you
Infographic showing various Bank Computer Science job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Staff Data Scientist - Sam's Fraud Prevention

Bentonville, AR • On-site

Walmart
Retail • 10K+ employees
Learn more about Walmartexternal

$110K - $220K/yr

Full-time

Posted 13 days ago

Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,684 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers

Job description

What you'll do...

Position:Staff Data Scientist - Sam's Fraud Prevention

Job Location:811 Excellence Dr, Bentonville, AR 72716

Duties:Architect and productionize Agentic AI-powered fraud decisioning system leveraging LLM orchestration, graph-derived embeddings, and ML-based risk scoring to aggregate multi-system signals, synthesize structured risk narratives, and generate automated accept/reject recommendations - materially reducing manual review dependency and decision latency. Design and deploy an ML-driven chargeback dispute automation agent thatleveragesstructured feature extraction, document intelligence models, and evidence-ranking algorithms to auto-generate bank-ready dispute letters - improving recovery rates while reducing operational overhead. Build a unified cross-channel member profile by linking in-club, dotcom, returns, and transactional activity to create a holistic fraud-aware customer view, enabling more precise detection and reduced false positives. Develop and productionize an end-to-end batch inference model that complements the real-time ML pipeline by issuing delayed risk recommendations for high-risk transactions, strengthening overall fraud coverage. Engineer a large-scale distributed fraud graph platform leveragingGraphDBandGraphFramesto model multi-hop relationships across devices, payment instruments, addresses, and behavioral signals; implement Graph Neural Networks (GNNs) and unsupervised graph embeddings to detect coordinated fraud rings and synthetic identity clusters. Spearhead development of an intelligent retail AI system combining computer vision signals, behavioral ML, and anomaly detection algorithms to proactively prevent in-club theft - optimizing shrink reduction while preserving a frictionless customer experience. Establish feedback-driven fraud learning loops by integrating model outputs, manual review outcomes, and downstream signals into continuous system improvement. Own full ML lifecycle across multiple initiatives - from feature engineering and model design to deployment, monitoring, and business impact measurement. Partner cross-functionallywith Engineering, Fraud Operations, Policy, and Retail stakeholders to operationalize advanced fraud systems at scale.

Minimum education and experiencerequired:Master's degree or the equivalent in Analytics, Economics, Computer Science, or related field OR Bachelor's degree or the equivalent in Analytics, Economics, Computer Science, or related field plus 2 years of experience in analytics or a related field.

Skills required:Must have experience with: coding in one of the following object-oriented programming languages: C++ or Python; Machine Learning and Deep Learning models, including CNN, Neural Networks and Bayesian Techniques; Statistics and Probability; performing data analysis and data collection using Python; identifying and applying metrics for measuring success and failure including F1, precision, recall and hypothesis testing; generating appropriate graphical representations of data and model outcomes; building scalable machine learning models for anomaly detection and Credit Risk; DataVisulaizationin Python, Power BI or Tableau; AI Ethics, Model Fairness/Bias Monitoring; and Data and featuring engineering.Employerwill accept any amount of graduate coursework, graduate researchexperienceor experience with the required skills.

Rate of pay:$110,000.00 - 220,000.00/year

Wal-Mart is an Equal Opportunity Employer.

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

Social media

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