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Fraud Software Engineer Jobs in California (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 ...

Whatnot

Software Engineer, Fraud

San Francisco, CA · On-site

$170K - $230K/yr

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 ...

Whatnot

Software Engineer, Fraud

San Francisco, CA

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 ...

Replit

Senior Software Engineer, Fraud

Foster City, CA · On-site

$210K - $265K/yr

Replit is the agentic software creation platform that enables anyone to build applications using ... fraud detection * Strong programming skills in Python and/or TypeScript for building detection ...

Replit

Staff Software Engineer, Fraud

Foster City, CA · On-site

$250K - $315K/yr

Replit is the agentic software creation platform that enables anyone to build applications using ... fraud detection * Strong programming skills in Python and/or TypeScript for building detection ...

Booz Allen Hamilton, Inc.

Software Engineer

San Diego, CA · On-site

$86K - $198K/yr

Share Software Engineer The Opportunity: As a full-stack developer, you can resolve a problem with ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton

Software Engineer

San Diego, CA · On-site

$86K - $198K/yr

Software Engineer The Opportunity: As a full-stack developer, you can resolve a problem with a ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton

Software Engineer

San Diego, CA

$86K - $198K/yr

R0241787 Software Engineer The Opportunity: As a full-stack developer, you can resolve a problem ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

DataVisor

Software Engineer

Mountain View, CA · On-site

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Our award-winning software platform is powered by a team of world-class experts in big data ...

DataVisor

Software Engineer

Mountain View, CA · On-site

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Our award-winning software platform is powered by a team of world-class experts in big data ...

DataVisor

Software Engineer

Mountain View, CA · On-site

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Our award-winning software platform is powered by a team of world-class experts in big data ...

Twilio

Senior Software Engineer

San Francisco, CA

$144K - $190K/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 ...

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Fraud Software Engineer information

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 are Fraud Software Engineers?

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 popular job titles related to Fraud Software Engineer jobs in California? For Fraud Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Fraud Software Engineer jobs in California look for? The top searched job categories for Fraud Software Engineer jobs in California are:
Fraud Software Engineer jobs near you
Software Engineer - Fraud

Software Engineer - Fraud

Sidecar

San Francisco, CA

Full-time

Posted 2 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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