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Fraud Software Engineer Jobs in New York (NOW HIRING)

Clearview AI, Inc.

Senior Software Engineer

New York, NY · On-site

$134K - $176K/yr

Our mission is to help our users solve crimes and prevent financial fraud with the responsible use ... This is a software-heavy, hands-on role for an engineer who is comfortable owning systems end to ...

Clearview AI

Senior Software Engineer

New York, NY · On-site

$134K - $176K/yr

Our mission is to help our users solve crimes and prevent financial fraud with the responsible use ... This is a software-heavy, hands-on role for an engineer who is comfortable owning systems end to ...

Oscar Health

Senior Software Engineer, Backend

New York, NY · On-site

$158K - $207K/yr

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Doppel Inc

Software Engineer, Platform

New York, NY · On-site

$135K - $300K/yr

... fraud, and other AI-powered threats across digital channels. We help some of the world's most ... What We're Building We're building the AI-native social engineering defense platform. This means we ...

Findigs

Senior Software Engineer

New York, NY · Hybrid

$180K - $210K/yr

The Role As a Senior Software Engineer, you will play a pivotal role in delivering innovative and ... Background in identity verification, KYC standards, and fraud detection technologies. * Familiarity ...

S&P Global

Senior Backend Software Engineer

New York, NY · On-site

$134K - $176K/yr

As a Senior Backend Engineer, you will develop reliable, secure, and performant APIs that apply ... Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent ...

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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 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 popular job titles related to Fraud Software Engineer jobs in New York? For Fraud Software Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Fraud Software Engineer jobs in New York look for? The top searched job categories for Fraud Software Engineer jobs in New York are:
What cities in New York are hiring for Fraud Software Engineer jobs? Cities in New York with the most Fraud Software Engineer job openings:
Fraud Software Engineer jobs near you

Software Engineer - Money Engineering - New York, NY

Atoms

Manhattan, NY • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Atoms is building the machines that power the next era of progress, focusing on Physical AI for industries such as food, mining, and transport. The Software Engineer will engineer and maintain core money platform capabilities, ensuring high availability, security, and scalability while collaborating with product management and design teams.
Responsibilities:
• Engineer and maintain our core money platform capabilities, focusing on high availability, security, and scalability.
• You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support 'keep the lights on' & on-call efforts.
• You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
Qualifications:
Required:
• Proficiency in backend programming languages like Java or Go.
• Familiarity with relational and/or NoSQL databases (e.g., PostgreSQL, Redis).
• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Understanding of RESTful APIs, microservices, and distributed systems.
• Strong debugging and problem-solving skills.
Preferred:
• 3+ years of professional software engineering experience, with significant time spent in payments, billing, or financial technology.
• Deep understanding of the payment processing lifecycle, including authorization, capture, settlement, and reconciliation.
• Direct experience with payment gateways (e.g., Stripe, Adyen, PayPal).
• Demonstrated experience in architecting and operating large-scale, fault-tolerant distributed systems that handle financial data.
• Knowledge of fraud detection techniques and experience building or integrating with risk management systems.
Company:
Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate tasks across various industries. Founded in 2016, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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