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Fraud Software Engineer Jobs (NOW HIRING)

Sidecar

Software Engineer - Fraud

San Francisco, CA

Qualified candidates will be founding members of a new Fraud Engineering team at Sidecar. You will ... Passion for finding problems with software and helping ensure they never happen again. * Easily ...

Twilio

Senior Software Engineer, Fraud

$125K - $165K/yr

About the job As a Senior Software Engineer you will help develop Stytch's fraud detection and prevention products as we bring Stytch capabilities to Twilio's full customer base, delivering secure ...

Twilio

Senior Software Engineer, Fraud

$125K - $165K/yr

About the job As a Senior Software Engineer you will help develop Stytch's fraud detection and prevention products as we bring Stytch capabilities to Twilio's full customer base, delivering secure ...

Ramp

Software Engineer, Fraud & Identity

New York, NY · On-site

$168K - $284K/yr

About the Role We are hiring a Software Engineer to build systems across Fraud, UIM (User & Identity Management), and Identity. This role sits at the intersection of security, risk decisioning, and ...

Whatnot

Senior Software Engineer, Fraud

San Francisco, CA · On-site

$200K - $230K/yr

As our next Software Engineer on the Fraud team, you should bring: * Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Economics, or a related technical field. * 4+ years of ...

Centennial Bank

Fraud Investigator

Amarillo, TX · On-site

ESSENTIAL DUTIES AND RESPONSIBILITIES 1. Analyze bank software to determine if unusual or ... Presentation/PowerPoint, Programming Languages, Spreadsheet WORKING CONDITIONS Periodically exposed ...

Roblox

Senior Software Engineer - Fraud

San Mateo, CA · On-site

$139K - $183K/yr

As an Economy Fraud engineer, you defend Roblox from all types of fraud, including theft, scams, money laundering, and payment fraud. Roblox is a high-growth, unique product environment. You will be ...

MasterCard

Software Engineer II

O Fallon, MO · On-site

The Fraud Products team (part of O&T) is developing new capabilities for MasterCard's Decision ... MasterCard software engineering teams leverage Agile development principles, advanced development ...

Roblox

Senior Software Engineer - Fraud

San Mateo, CA · On-site

$196K - $243K/yr

As an Economy Fraud engineer, you defend Roblox from all types of fraud, including theft, scams, money laundering, and payment fraud. Roblox is a high-growth, unique product environment. You will be ...

Mastercard, Inc.

Software Engineer II

O Fallon, MO · On-site

$91K - $124K/yr

The Fraud Products team (part of O&T) is developing new capabilities for MasterCard's Decision ... MasterCard software engineering teams leverage Agile development principles, advanced development ...

Mastercard

Software Engineer II

O Fallon, MO · On-site

$91K - $124K/yr

The Fraud Products team (part of O&T) is developing new capabilities for MasterCard's Decision ... MasterCard software engineering teams leverage Agile development principles, advanced development ...

Booz Allen Hamilton, Inc.

Software Engineer

Aurora, CO · On-site

$69K - $158K/yr

Software Engineer The Opportunity: We are seeking a Software Engineer support Agile design ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton, Inc.

Software Engineer

Aurora, CO · On-site

$69K - $158K/yr

We are seeking a Software Engineer support Agile design, development, integration, and deployment ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton, Inc.

Software Engineer

Aurora, CO · On-site

$69K - $158K/yr

Software Engineer The Opportunity: We are seeking a Software Engineer support Agile design ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton, Inc.

Software Engineer

Aurora, CO · On-site

$69K - $158K/yr

We are seeking a Software Engineer support Agile design, development, integration, and deployment ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

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Fraud Software Engineer information

See salary details

$24K

$104.9K

$189K

How much do fraud software engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for fraud software engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a fraud software engineer?

Fraud Software Engineers are specialists who design, develop, and maintain software systems aimed at detecting and preventing fraudulent activities. They work with advanced algorithms, machine learning, and data analysis to identify suspicious patterns or transactions in real time. Their role is crucial in safeguarding financial institutions, e-commerce platforms, and other organizations from financial losses due to fraud. They also collaborate closely with security teams to continuously improve fraud detection systems and stay ahead of evolving threats.

How do fraud software engineers typically collaborate with other departments to enhance fraud detection systems?

Fraud Software Engineers work closely with data analysts, cybersecurity teams, and product managers to develop and refine fraud detection tools. They often participate in cross-functional meetings to review emerging threats and adapt algorithms accordingly. Collaboration is essential for integrating real-time data feeds, sharing insights on fraudulent patterns, and ensuring that software solutions align with regulatory and customer requirements. This collaborative approach helps ensure that detection mechanisms remain robust and adaptable in a rapidly evolving landscape.

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

To thrive as a Fraud Software Engineer, you need strong skills in software development, data analysis, and an understanding of fraud detection methodologies, usually backed by a degree in computer science or related fields. Familiarity with programming languages (such as Python, Java, or Scala), machine learning frameworks, and fraud detection platforms is typically required, along with relevant certifications in cybersecurity or data analytics. Analytical thinking, problem-solving, and effective communication are valuable soft skills that help in identifying threats and collaborating across teams. These skills and qualities are crucial for building robust systems that proactively detect and prevent fraudulent activities, safeguarding organizational assets.

What is the difference between Fraud Software Engineer vs Fraud Analyst?

AspectFraud Software EngineerFraud Analyst
Required CredentialsBachelor's in Computer Science or related field, coding skills, knowledge of fraud detection toolsBachelor's in Finance, Business, or related field, analytical skills, understanding of fraud patterns
Work EnvironmentDevelops and maintains fraud detection software, collaborates with engineering teamsAnalyzes fraud cases, reviews data, and implements fraud prevention strategies
Employer & Industry UsageTech companies, financial institutions, e-commerce platformsBanking, credit card companies, online payment providers

While both roles focus on combating fraud, Fraud Software Engineers develop and improve the technical systems used for detection, whereas Fraud Analysts analyze data and patterns to identify and prevent fraudulent activities. Both positions are essential in the fight against fraud but require different skill sets and responsibilities.

Is fraud investigation a good career?

Fraud investigation is a valuable career path that involves analyzing financial data and detecting fraudulent activities, often requiring skills in data analysis, cybersecurity, and investigative techniques. Fraud software engineers develop tools and systems to identify and prevent fraud, making the field technically challenging and in demand across various industries.
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Fraud Software Engineer jobs near you
Infographic showing various Fraud Software Engineer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Software Engineer - Fraud

San Francisco, CA

Sidecar
51 - 200 employees
Learn more about Sidecarexternal

Full-time

Re-posted 25 days ago

Job description

For this position, we are looking for a full stack backend engineer, who will be working directly with the developers and architects.  Qualified candidates will be founding members of a new Fraud Engineering team at Sidecar.


You will work with internal and external partners tackling fraud from soup to nuts… from helping to define and isolate the problem space to engineering next-generation solutions. Your goals are simple: help zero in on fraudulent activity before it happens and make a significant impact on the company’s bottom line.


Currently our backend API is written in PHP using the Codeigniter framework and other technologies like node.js. To support and expand we are transitioning to python and hiring more top-notch senior developers with server side expertise.


Our office is located in downtown San Francisco and is full of smart, hard-working people collaborating to bring ride-sharing to everyone… and having a great time along the way!


Responsibilities

  • Strong engineering background coupled with experience around machine learning, pattern recognition, etc.

  • Code using primarily Python, Nodejs and PHP.

  • Work closely with other engineers on the team and build on each other’s ideas.

  • Participate in the design process and in code reviews.

  • Analyze and improve efficiency, scalability, and stability of various system resources.

  • Be proud of your work - what you do has a direct impact on our customers’ experience.


Requirements

  • Expert knowledge developing and debugging in PHP/Python.

  • Experience in the fraud space is a plus, but not required. Either way, you should be passionate about tackling the problem and the impact you can have on the company.

  • Passion for finding problems with software and helping ensure they never happen again.

  • Easily bored by monotony, would rather write a script to automate it.

  • BS / MS in Computer Science or related field.

Employment Type: Full-Time

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