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Fraud Software Engineer Jobs in Buffalo, NY (NOW HIRING)

acv

Staff Software Engineer, Capital

Buffalo, NY

We are seeking a talented and enthusiastic Staff Software Developer to join our growing team. In ... fraud detection, and regulatory compliance. * Proven experience building and optimizing workflows ...

acv

Staff Software Engineer, Capital

Buffalo, NY · On-site

We are seeking a talented and enthusiastic Staff Software Developer to join our growing team. In ... fraud detection, and regulatory compliance. * Proven experience building and optimizing workflows ...

acv

Staff Software Engineer, Capital

Buffalo, NY

We are seeking a talented and enthusiastic Staff Software Developer to join our growing team. In ... fraud detection, and regulatory compliance. * Proven experience building and optimizing workflows ...

ACV

Staff Software Engineer, Capital

Buffalo, NY · On-site

$165K - $190K/yr

We are seeking a talented and enthusiastic Staff Software Developer to join our growing team. In ... fraud detection, and regulatory compliance. * Proven experience building and optimizing workflows ...

M&T Bank

Digital Channels Product Leader

Buffalo, NY · On-site

... developer experiences, ERP integrations, file transmission services, client connectivity, and ... Partner with Risk, Compliance, Fraud, and Information Security teams throughout the product ...

Mtb

Digital Channels Product Leader

Buffalo, NY

... developer experiences, ERP integrations, file transmission services, client connectivity, and ... Partner with Risk, Compliance, Fraud, and Information Security teams throughout the product ...

M&T Bank

Digital Channels Product Leader

Buffalo, NY · On-site

... developer experiences, ERP integrations, file transmission services, client connectivity, and ... Partner with Risk, Compliance, Fraud, and Information Security teams throughout the product ...

acv

Lead Product Manager, Inspections

Buffalo, NY

... fraud, or quality * Experience with condition-data or computer-vision/ML-powered products * Technical depth, such as prior software engineering experience, fluency querying data with SQL, and comfort ...

acv

Lead Product Manager, Inspections

Buffalo, NY

... fraud, or quality * Experience with condition-data or computer-vision/ML-powered products * Technical depth, such as prior software engineering experience, fluency querying data with SQL, and comfort ...

acv

Lead Product Manager, Inspections

Buffalo, NY

... fraud, or quality * Experience with condition-data or computer-vision/ML-powered products * Technical depth, such as prior software engineering experience, fluency querying data with SQL, and comfort ...

All JobsFraud Software Engineer JobsFraud Software Engineer Jobs in Buffalo, NY

Fraud Software Engineer information

See Buffalo, NY salary details

$23.2K

$101.6K

$183.1K

How much do fraud software engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for fraud software engineer in Buffalo, NY is $101,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $116,200.00 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.

What are popular job titles related to Fraud Software Engineer jobs in Buffalo, NY?

For Fraud Software Engineer jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Fraud Software Engineer jobs in Buffalo, NY look for?

The top searched job categories for Fraud Software Engineer jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Fraud Software Engineer jobs?

Cities near Buffalo, NY with the most Fraud Software Engineer job openings:

Fraud Software Engineer jobs near you

Staff Software Engineer, Capital

Buffalo, NY

acv
Offices of Physicians • 51 - 200 employees
Learn more about acvexternal

Full-time

Re-posted 22 days ago

Job description

What you will do:

 

We are seeking a talented and enthusiastic Staff Software Developer to join our growing team. In this role, you will design, develop, and maintain software applications that solve real-world problems and enhance our products. You will collaborate with cross-functional teams to deliver high-quality, scalable, and innovative solutions.

  • Actively and consistently support all efforts to simplify and enhance the customer experience.
  • Build on, establish, and document best practices and coding standards.
  • Support product delivery teams by providing guidance on technical solutions when asked.
  • Conduct code reviews, develop high-quality documentation, and build robust test suites.
  • Own the overall performance of products and frameworks within a defined area of focus.
  • Previous experience leading POCs or technical tool adoption initiatives.
  • Provide technical support for multiple applications within the technology portfolio, including both code development and DevOps.
  • Provide technical leadership, mentorship, and guidance to multiple teams, fostering a culture of continuous improvement and technical excellence.
  • Be empowered to lead and complete software projects with minimal guidance from managers.
  • Lead team discussions to define technical requirements for new and current products.
  • Develop roadmaps and prioritize technical debt to effectively plan features and work.
  • Respond-to and troubleshoot highly complex problems quickly, efficiently, and effectively.
  • Mentor junior engineers.
  • Other duties as assigned

What you will need:

  • BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
  • Expert experience with Python.
  • Expert experience with Distributed Systems Design and/or Event-Driven development.
  • Expert experience and understanding of pyramid testing methodologies.
  • Expert experience with build & deployment automation (CI/CD, GitHub Actions, Jenkins/TeamCity).
  • Experience with AWS, SQL, and Pub/Sub patterns (Kafka).
  • Expert experience with version control systems (Git).
  • Expertise in architecting secure and scalable financial systems, with a deep understanding of data encryption, access controls, fraud detection, and regulatory compliance.
  • Proven experience building and optimizing workflows for the loan origination lifecycle (e.g., application, credit assessment, funding, portfolio management).
  • Hands-on experience with the integration of financial platforms, such as loan origination systems (LOS), ERPs, and servicing systems.
  • Experience maintaining and extending an existing codebase, adapting to pre-existing patterns and tracing the code’s path of execution.
  • Expert experience in debugging, profiling, and optimizing distributed systems using tools like Datadog, CloudWatch Logs, and distributed tracing frameworks.
  • Experience with Docker, Kubernetes, and Deployment automation.
  • 8+ years of experience.

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