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Software Engineer Fraud Detection Jobs in Tulsa, OK

MATERIAL AND PROCESS ENGR SR

Tulsa, OK

$88K - $114K/yr

Uses computer software and hardware to conduct tests on chemicals, materials, and processes ... detect delaminations, internal abnormalities, impurities and failure analysis of materials.

... software, as appropriate; provides on call support as required. * Monitors infrastructure with monitoring tools to detect issues and makes recommendations to improve uptime. Identifies, diagnoses ...

Develop clash detection reports. * Manage the coordination process on a project, working with the ... Liaison with software developer support staff and other support channels. * Performs other duties ...

Callout CR/DR Technician

Tulsa, OK · On-site

$15.50 - $20.50/hr

Set up and calibrate equipment to ensure accurate detection of defects, cracks, or material ... Collaborate with NDT supervisors, engineers, and quality control teams to ensure inspections meet ...

New

Sales Specialist

Tulsa, OK · On-site

$69K - $85K/yr

Create and send product quotes in CAPS to customers, Engineering, and Purchasing teams. * Provide ... RECRUITING FRAUD ALERT At Greenheck Group, your personal information and online safety are our top ...

... detection, circumvention, and resolution to root causes. Someone to provide application of software ... engineering or other related areas * Certification or equivalent experience for CompTIA A+, CompTIA ...

... detection, circumvention, and resolution to root causes. Someone to provide application of software ... engineering or other related areas * Certification or equivalent experience for CompTIA A+, CompTIA ...

Showing results 21-40

Software Engineer Fraud Detection information

See Tulsa, OK salary details

$21.9K

$95.8K

$172.6K

How much do software engineer fraud detection jobs pay per year?

As of Aug 22, 2026, the average yearly pay for software engineer fraud detection in Tulsa, OK is $95,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $109,600.00 per year, depending on experience, location, and employer.

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

What are the key skills and qualifications needed to thrive as a software engineer fraud detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are popular job titles related to Software Engineer Fraud Detection jobs in Tulsa, OK?

For Software Engineer Fraud Detection jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Software Engineer Fraud Detection jobs in Tulsa, OK look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Tulsa, OK are:

What cities near Tulsa, OK are hiring for Software Engineer Fraud Detection jobs?

Cities near Tulsa, OK with the most Software Engineer Fraud Detection job openings:

Infographic showing various Software Engineer Fraud Detection job openings in Tulsa, OK as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $95,779 per year, or $46 per hour.

MATERIAL AND PROCESS ENGR SR

NORDAM

Tulsa, OK

$88K - $114K/yr

Full-time

Re-posted 26 days ago


Nordam rating

7.7

Company rating: 7.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

51st of 72 rated aerospace companies


Job description

Job Summary
Applies extensive knowledge of principles, theories, concepts and industry practices and standards in materials and process engineering to evaluate technical and economic factors and recommend engineering and manufacturing actions for attainment of design objectives of processes or products in a manufacturing environment.
Essential Functions & Key Responsibilities

  • Develops solutions to a variety of complex problems requiring independent judgment and ingenuity to modify procedures and approaches related to applications of materials, equipment or processes in the manufacturing, rework and repair of aerospace products. May lead lesser experienced stakeholders.
  • Reviews plans for new product and factors such as strength, weight, and cost to submit material selection recommendations ensuring attainment of design objectives. Confers with producers of materials such as metals, ceramics, or polymers during investigation and evaluation of materials suitable for specific product applications. Uses computer software and hardware to conduct tests on chemicals, materials, and processes.
  • Plans and implements laboratory operations to develop material and fabrication procedures for new materials to fulfill product cost and performance standards. Determines conditions under which tests are to be conducted and sequences and phases of test operations.
  • Directs and exercises control over operational, functional, and performance phases of tests. Resolves testing problems such as product or system malfunctions, incomplete test data and data interpretation.
  • Reviews product failure data and interprets laboratory tests and analyses to establish or rule out material and process causes. Examines composite and metal material samples, components and parts using nondestructive and destructive inspection technology to detect delaminations, internal abnormalities, impurities and failure analysis of materials.
  • Develops and writes technical specifications to control material properties and manufacturing or repair processes. Specifies procedures for cutting, shaping, and otherwise preparing the basic material considering product specifications, economic and producibility factors. Designs and plans layout for such processes as hardening, washing, laminating, etching, painting, plating and other like operations.

Performs other duties as required. These duties may include assignments in job classifications and departments other than the primary assignment.

What Nordam employees say

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Benefits

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About NORDAM

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

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