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Software Engineer Fraud Detection Jobs in Durham, NC

CoVar

Software Engineer

Durham, NC · On-site

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... We build advanced software and machine learning systems that help the Department of Defense detect ...

Teledyne FLIR LLC

Software Engineer

Durham, NC · On-site

... Software Engineer to support advanced research and development projects that require algorithm and ... detection and tracking, deep learning, machine learning, autonomous system control and decision ...

Teledyne

Software Engineer

Durham, NC · On-site

... Software Engineer to support advanced research and development projects that require algorithm and ... detection and tracking, deep learning, machine learning, autonomous system control and decision ...

varonis

Software Engineer (C++ & C#)

Morrisville, NC · On-site

Description Software Engineer The Company: Varonis is a pioneer in data security and analytics ... threat detection and response, and compliance. Varonis protects enterprise data by analyzing data ...

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All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Durham, NC

Software Engineer Fraud Detection information

See Durham, NC salary details

$23.2K

$101.3K

$182.6K

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

As of Aug 29, 2026, the average yearly pay for software engineer fraud detection in Durham, NC is $101,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $116,000.00 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 Durham, NC?

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

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

The top searched job categories for Software Engineer Fraud Detection jobs in Durham, NC are:

Software Engineer Fraud Detection jobs near you
Infographic showing various Software Engineer Fraud Detection job openings in Durham, NC 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 $101,330 per year, or $48.7 per hour.

Senior Director Fraud Prevention Analytics

First Citizens Bank

Raleigh, NC • On-site

Full-time

Posted 8 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 173 rated banks

Job description

Overview
This position is responsible for developing and implementing comprehensive fraud risk strategies to detect and combat fraud across card and non-card products spanning consumer and commercial businesses while balancing risk mitigation with business and customer experience. Oversees management of all fraud models and partners with model developers, engineering and model risk management to ensure all models are compliant and continue to perform within expectations. Leads reporting and fraud analytics teams to review trends and patterns in complex data sets. Partners to develop innovative strategies that will mitigate current and emerging risks translating findings into actionable recommendations. Serves as a risk consultant, staying informed of knowledge of trends, regulations, and changes within the industry. Collaborates with industry partners, peers, and colleagues to influence fraud strategy and enhance controls. Fosters productive relationships at all levels across multiple lines of business and provide leadership and expertise to enterprise-wide projects to facilitate safe, secure operations for the Bank.
Responsibilities & Qualifications
Duties & Responsibilities:
Fraud Risk Strategy - Spearheads the transformation of our fraud detection strategy and capabilities using advanced analytics, machine learning, and data science techniques to detect and prevent fraud. Develops and maintain repeatable and sustainable model risk management processes and key risk indicators. Develops and leads a fraud deconstruction routine to inform and influence strategy. Monitors and report on the effectiveness of fraud prevention measures.
Managerial Functions - Leads and develops a team of associates within the department. Establishes and monitors expectations to achieve company and department goals. Makes appropriate changes to team policies and procedures to improve efficiency and achieve objectives. Manages the performance, training, and evaluation of assigned staff. Maximizes department achievements by coaching and providing professional development.
Business Support - Stays informed of current industry trends and standards, banking regulations, consumer protection and privacy laws, as well as the development of new products or channels. Tracks fraud data for reporting needs. Fosters productive relationships across the Bank and with key vendors. Develops and maintains a network of contacts at other financial institutions for information exchange and peer comparisons. Collaborates s cross- functionally to implement effective fraud strategies.
Project Management - Serves as a risk consultant in partnership with senior leadership, project teams, and business units on enterprise-wide initiatives. Facilitates the planning, implementation, and evaluation of projects. Participates in project-steering committees or councils to promote awareness and address potential risks.
Position Specific Skills:
Ability to quickly grasp new vendor software
Knowledge of bank systems
Familiarity with Bank policies, procedures, and practices including related industry and regulatory issues
Qualifications:
Minimum Required Education and Experience: Bachelor's Degree and 12 years' experience OR High School Diploma or GED/Equivalent and 16 years' experience in Fraud risk management, fraud detection, and data analytics,
Preferred Education:Master's Degree
Preferred Area of Study:Data Science, Statistics, Computer Science or related field
Preferred Area of Experience:Proven track record of developing and implementing successful strategies to detect multiple fraud types, including ATO and First Party Fraud.Certified Fraud Examiner; Demonstrated experience, knowledge, and application of Nacha rules, UCC 4, and bank regulations, specifically Reg E, Reg CC, UDAAP , FACTA , and FFIEC Handbooks.
Required Licenses or Certifications:
Preferred Licenses or Certifications:
Additional Information

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Required Experience

  • Bachelor's degree in Finance, Business, Economics, Statistics, Mathematics, Data Science, Risk Management, or related field.
  • 12+ years of progressive experience in fraud risk management, fraud strategy, analytics, financial crimes, or related disciplines within a large financial institution.
  • 8+ years of management experience leading high-performing teams.
  • Demonstrated success managing fraud performance and loss mitigation programs in a large banking environment.
  • Experience developing and executing enterprise fraud strategies and roadmaps.
  • Proven track record of influencing senior executives and delivering measurable fraud loss reductions.
  • Risk Identification
  • Risk Mitigation 

Preferred Experience

  • Master's degree (MBA, Analytics, Data Science, Finance, or related discipline).
  • Experience supporting Board and Executive Risk Committee reporting.
  • Experience with payments, card fraud, deposit fraud, digital banking fraud, account takeover, check fraud, and emerging fraud typologies.
  • Knowledge of fraud detection technologies, machine learning applications, and advanced analytics techniques.
  • Professional certifications such as CFE, CRCM, CAMS, or equivalent.

Core Competencies

  • Fraud Strategy Development
  • Fraud Risk Management
  • Loss Deconstruction & Root Cause Analysis
  • Advanced Analytics & Data Interpretation
  • Executive Communication
  • Risk Appetite Management
  • Enterprise Governance & Reporting
  • Business Partnership & Influence
  • Strategic Planning & Roadmap Development
  • Fraud Controls & Optimization
  • Financial Acumen
  • Change Leadership
  • Talent Development
  • Cross-Functional Collaboration

#LI-LM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Required Experience

  • Bachelor's degree in Finance, Business, Economics, Statistics, Mathematics, Data Science, Risk Management, or related field.
  • 12+ years of progressive experience in fraud risk management, fraud strategy, analytics, financial crimes, or related disciplines within a large financial institution.
  • 8+ years of management experience leading high-performing teams.
  • Demonstrated success managing fraud performance and loss mitigation programs in a large banking environment.
  • Experience developing and executing enterprise fraud strategies and roadmaps.
  • Proven track record of influencing senior executives and delivering measurable fraud loss reductions.
  • Risk Identification
  • Risk Mitigation 

Preferred Experience

  • Master's degree (MBA, Analytics, Data Science, Finance, or related discipline).
  • Experience supporting Board and Executive Risk Committee reporting.
  • Experience with payments, card fraud, deposit fraud, digital banking fraud, account takeover, check fraud, and emerging fraud typologies.
  • Knowledge of fraud detection technologies, machine learning applications, and advanced analytics techniques.
  • Professional certifications such as CFE, CRCM, CAMS, or equivalent.

Core Competencies

  • Fraud Strategy Development
  • Fraud Risk Management
  • Loss Deconstruction & Root Cause Analysis
  • Advanced Analytics & Data Interpretation
  • Executive Communication
  • Risk Appetite Management
  • Enterprise Governance & Reporting
  • Business Partnership & Influence
  • Strategic Planning & Roadmap Development
  • Fraud Controls & Optimization
  • Financial Acumen
  • Change Leadership
  • Talent Development
  • Cross-Functional Collaboration

#LI-LM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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