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Fraud Software Engineer Jobs in Pennsylvania (NOW HIRING)

Fraud Hub Lead Engineer

Pittsburgh, PA · On-site

$99K - $131K/yr

Required : • 10+ years of software engineering experience, with at least 5 years delivering Fraud, Financial Crime, or large-scale risk analytics platforms. • Proven experience building and ...

Software Quality/ Test Automation * Data Engineering * Data Science * DevOps Engineering Video ... Be aware of employment fraud. All email communications from Ascensus or its hiring managers ...

Software Quality/ Test Automation * Data Engineering * Data Science * DevOps Engineering Video ... Be aware of employment fraud. All email communications from Ascensus or its hiring managers ...

Senior iOS Engineer

Pittsburgh, PA · On-site

$177K - $240K/yr

Collaborate on software projects with product design and backend aspects * Develop, release, and ... Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees.

Allocore powers the leading government loans, grants, and fraud prevention programs with a unified ... Collaborate with business and product owners to define software requirements * Resolve problems ...

... fraud detection, supply chain, or knowledge graphs. . Design and implement Neo4j architecture ... Cloud Computing * DevOps * GraphQL * JSON (WS) * Neo4J * XML What you can expect from us: Together ...

Neo 4J Software Development Lead

Pittsburgh, PA · On-site

$112K - $141K/yr

Software Development/ Engineering Main location: United States, Pennsylvania, Pittsburgh Position ... fraud detection, supply chain, or knowledge graphs. . Design and implement Neo4j architecture ...

Data Engineer

Philadelphia, PA · On-site

$140K - $160K/yr

Be cautious of recruitment fraud, and always confirm that communications are coming from an ... Collaborate with engineering and other teams to integrate analytics into production systems.

Sr. AI. Forward Deployment Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

This senior, client facing role combines Generative AI strategy, AI native software engineering ... Retail and Commercial Banking Lending, Payments, and Treasury Risk, Compliance, AML, and Fraud ...

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Fraud Software Engineer information

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 Pennsylvania?

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

What cities in Pennsylvania are hiring for Fraud Software Engineer jobs?

Cities in Pennsylvania with the most Fraud Software Engineer job openings:

Infographic showing various Fraud Software Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Fraud Hub Lead Engineer

BNY

Pittsburgh, PA • On-site

$99K - $131K/yr

Full-time

Re-posted 7 days ago


Job description

Job Summary:
BNY is a leading global financial services company influencing nearly 20% of the world’s investible assets. They are seeking a Fraud Hub Lead Engineer to lead the global engineering strategy and execution for BNY’s Fraud Hub, focusing on fraud detection, prevention, and response platforms while ensuring secure and scalable systems.
Responsibilities:
• Define and execute the global engineering strategy for BNY’s Fraud Hub, acting as the single engineering owner for Fraud platforms, standards, and delivery.
• Build, lead, and inspire a high‑performing global engineering organization with strong technical depth, clear ownership, and a relentless focus on quality and outcomes.
• Establish engineering standards for availability, resiliency, security, model risk management, and operational excellence across all Fraud technology.
• Own the end‑to‑end architecture, build, and operation of scalable, real‑time Fraud detection and decisioning platforms.
• Design and operate streaming, event‑driven systems for real‑time Fraud detection, monitoring, and response across high‑volume payment and transaction flows.
• Integrate emerging AI‑driven systems for anomaly detection, behavior analysis, alert prioritization, investigation, and remediation. Solutions must include biometrics, video and voice analytics.
• Develop retrospective and “after‑event” analytics capabilities to continuously improve models, controls, and defenses against emerging Fraud threats.
• Anticipate new Fraud vectors and proactively evolve platforms, data, and AI capabilities using a 360 mindset to stay ahead of the threat landscape.
• Provide full lifecycle ownership for Fraud platforms, including build, run, resiliency, incident response, and continuous improvement.
• Establish, track, and report KPIs and OKRs including uptime, MTTR, change success rate, SLA adherence, throughput, and operational risk indicators.
• Champion modern DevSecOps and MLOps practices, ensuring safe, repeatable, and auditable deployment of software and AI into production.
• Partner closely with Risk, Compliance, Cyber, Legal, Operations, and Product teams to translate regulatory and risk requirements into actionable engineering outcomes.
• Serve as a trusted engineering leader to senior executives and stakeholders, influencing investment, prioritization, and strategic direction.
• Provide a firmwide hub of Fraud engineering expertise, intelligence, and best practices, enabling consistent, high‑quality outcomes across the enterprise.
Qualifications:
Required:
• 10+ years of software engineering experience, with at least 5 years delivering Fraud, Financial Crime, or large-scale risk analytics platforms.
• Proven experience building and deploying AI/ML-driven solutions for Fraud detection, anomaly detection, or real-time risk decisioning.
• Demonstrated success leading and scaling global engineering teams responsible for mission-critical, regulated technology platforms.
• Hands-on technical credibility and use of emerging AI tools: able to design systems, review code, evaluate architectures, and build working prototypes when needed.
• Experience operating AI in production environments, including model lifecycle management, monitoring, drift detection, explainability, and governance.
• Strong understanding of modern distributed systems, event-driven architectures, streaming platforms, and cloud-native design patterns.
• Familiarity with cybersecurity practices, identity and access management, logging/SIEM integrations, and secure-by-design engineering.
Preferred:
• Experience working with industry Fraud platforms, vendor ecosystems, or participation in industry working groups.
• Experience operating in highly regulated financial environments and partnering with Compliance, Risk, and Audit teams.
• Strong executive communication and stakeholder-management skills; comfortable influencing across lines of business and technology.
• You are energized by building platforms, not just managing teams.
• You bring a forward-looking mindset — continuously asking what's next and how we get ahead.
• You value engineering excellence, operational rigor, and measurable outcomes.
• You thrive in complex, enterprise environments and can turn ambiguity into execution.
Company:
BNY is a global financial services platforms company at the heart of the world’s capital markets. Founded in 1784, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.