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Bank Computer Science Jobs in Oregon (NOW HIRING)

Impact Payments Recruiting

Senior Risk Data Analyst

Qualifications Required Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science ... Preferred Experience in payments, fintech, banking, or financial services. Familiarity with ACH ...

Ryde Technologies, LLC

... degree in Computer Science, Engineering, Physics, Mathematics or a related field preferred. • ... Iron Bank. • Previous AWS Cloud computing experience. • Prior work for DOD and/or Federal ...

Sargent & Lundy

Responsible for physical design including duct bank layouts, development of trenchless designs ... Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables ...

Sargent & Lundy

Responsible for physical design including duct bank layouts, development of trenchless designs ... Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables ...

nCino OpCo

OR · On-site

$103K - $139K/yr

Requirements: * Bachelor's Degree in Computer Science or a related field with 5+ years of ... banking systems * Experience building tools for technical users such as IDEs, API services ...

Sargent & Lundy

Responsible for physical design including duct bank layouts, development of trenchless designs ... Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables ...

Monks

Please note that we will never request payment or bank account information at any stage of the ... The essentials: * A Bachelor's or Master's degree in Computer Science, Statistics, Applied ...

Media.Monks

$130K/yr

Please note that we will never request payment or bank account information at any stage of the ... The essentials: * A Bachelor's or Master's degree in Computer Science, Statistics, Applied ...

Endava

Wireless Telco, Banking, Payments, Finance, Insurance Your industry insight will shape strategies ... Advanced degree in Computer Science, Business, or equivalent professional experience Preferred:

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Bank Computer Science information

How does a Computer Science professional 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 Science professional, 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 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.

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.

What are popular job titles related to Bank Computer Science jobs in Oregon? For Bank Computer Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Bank Computer Science jobs in Oregon look for? The top searched job categories for Bank Computer Science jobs in Oregon are:
What cities in Oregon are hiring for Bank Computer Science jobs? Cities in Oregon with the most Bank Computer Science job openings:
Bank Computer Science jobs near you
Infographic showing various Bank Computer Science job openings in Oregon as of July 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution.
Senior Risk Data Analyst

Senior Risk Data Analyst

Impact Payments Recruiting

On-site, Remote

Contractor

Medical, Retirement, PTO

Posted 12 days ago

Job description

Senior Risk Data Analyst
Overview
The Senior Risk Data Analyst is responsible for delivering data-driven insights that strengthen risk management, compliance oversight, and operational performance. This role partners closely with Risk, Compliance, Underwriting, Product, and Operations teams to develop reporting, analytics, and automation solutions that support informed decision-making across the payments lifecycle.
The ideal candidate combines strong analytical and technical skills with experience working in payments, fintech, or financial services environments.
Key Responsibilities
Analytics & Reporting
Develop and maintain dashboards, KPIs, and reporting related to fraud, return rates, chargebacks, transaction performance, and compliance metrics.
Analyze large datasets to identify trends, anomalies, and emerging risks.
Deliver recurring and ad hoc reporting to business leaders and stakeholders.
Translate complex findings into clear, actionable recommendations.
Risk & Compliance Support
Support monitoring of merchant performance, portfolio health, and transaction risk indicators.
Provide analytical support for compliance reviews, audits, testing programs, and regulatory reporting.
Partner with underwriting and risk teams to identify opportunities for improved controls and decision-making.
Automation & Process Improvement
Build and enhance automated reporting, workflows, and data processes.
Collaborate with Product and Engineering teams to improve data infrastructure and monitoring capabilities.
Support the development of risk monitoring tools, alerts, and decisioning frameworks.
Cross-Functional Collaboration
Work closely with business stakeholders to understand reporting and analytics needs.
Translate business requirements into scalable data solutions.
Present insights and recommendations to both technical and non-technical audiences.
Qualifications
Required
Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field.
5+ years of experience in data analytics, risk analytics, business intelligence, or financial services analytics.
Strong experience with data visualization tools such as Tableau, Power BI, or similar platforms.
Ability to analyze large datasets and communicate insights effectively.
Strong problem-solving, communication, and stakeholder management skills.
Preferred
Experience in payments, fintech, banking, or financial services.
Familiarity with ACH, NACHA rules, transaction monitoring, or payments risk management.
Proficiency with SQL, Python, or similar analytical tools.
Experience with automation, data pipelines, or business intelligence platforms.
Exposure to fraud analytics, risk modeling, or compliance reporting.
What Success Looks Like
Accurate, reliable reporting that supports business and risk decisions.
Actionable insights that identify trends, risks, and performance opportunities.
Increased operational efficiency through automation and process improvements.
Strong support for compliance, audit, and risk management initiatives.
Positive stakeholder feedback and effective cross-functional collaboration.
Compensation & Benefits
Competitive compensation package including base salary, performance incentives, comprehensive health benefits, retirement savings plan, and paid time off.
Work Environment
Remote or hybrid role with a blend of independent analytical work and cross-functional collaboration across Risk, Compliance, Underwriting, Product, and Operations teams.
Education:Employment Type: CONTRACTOR

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