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Fraud Software Engineer Jobs (NOW HIRING)

Ramp is building the smart infrastructure for finance teams, and they are seeking a Software Engineer to build systems across Fraud, UIM, and Identity. This role involves developing detection and ...

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 ...

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 ...

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 ...

As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact. What You'll ...

New

As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact. What You'll ...

New

As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact. What You'll ...

New

As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact. What You'll ...

As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact. What You'll ...

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

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

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

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Fraud Software Engineer information

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$24K

$104.9K

$189K

How much do fraud software engineer jobs pay per year?

As of Aug 11, 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 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.

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.
More about Fraud Software Engineer jobs
What cities are hiring for Fraud Software Engineer jobs? Cities with the most Fraud Software Engineer job openings:
What states have the most Fraud Software Engineer jobs? States with the most job openings for Fraud Software Engineer jobs include:
Infographic showing various Fraud Software Engineer job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Software Engineer, Fraud & Identity

Ramp

Remote

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Ramp is building the smart infrastructure for finance teams, and they are seeking a Software Engineer to build systems across Fraud, UIM, and Identity. This role involves developing detection and enforcement capabilities for fraud and account takeover, and strengthening authentication and identity foundations through cross-functional collaboration.
Responsibilities:
• Build and evolve backend services that detect and prevent fraud across multiple surfaces, including account access and money movement.
• Develop enforcement and response tooling that enables fast, safe actions such as identity locks, business locks, payment freezes, and other containment levers.
• Improve protections against account takeover (ATO), including risk-based step-ups, monitoring, and targeted friction controls (for example “under attack” style controls and MFA surge detection/alerting).
• Design and operate high-signal systems with strong observability: metrics, dashboards, alerting, and playbooks for incidents and fraud campaigns.
• Partner with UIM/Identity stakeholders to strengthen authentication and identity foundations (roles, permissions, identity state, and related platform primitives).
• Drive end-to-end delivery: technical design, implementation, rollout strategy, and iteration based on outcome metrics.
Qualifications:
Required:
• 3+ years of software engineering experience (or equivalent).
• Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability).
• Experience building data-informed detection or decisioning systems (rules engines, scoring, anomaly detection, or similar), or strong interest in learning in this domain.
• Proven ability to operate production systems: debugging, incident response, and improving on-call quality through instrumentation and automation.
• Strong cross-functional communication skills and comfort working with product and operations partners.
Preferred:
• Experience in fraud, risk, identity, authentication, authorization, abuse prevention, or security engineering.
• Familiarity with payments rails, card transaction risk, or account security patterns.
• Experience building internal tools for operations teams (case management, investigation, enforcement workflows).
Company:
Ramp is a financial technology company that develops software for corporate spend management, finance operations, and business payments. Founded in 2019, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.