Cybersecurity Fraud Staff Engineer (Remote)

Home Depot; United States; Remote; USD 125,000 - 160,000; Full time

Job summary

An established industry player is seeking a Staff Engineer to lead the charge against identity fraud. This pivotal role involves designing and implementing advanced fraud prevention strategies using cutting-edge technologies. You'll collaborate with cross-functional teams to create resilient solutions that protect millions of users. If you are passionate about cybersecurity and have a deep understanding of identity fraud prevention, this is the opportunity for you. Join a dynamic team dedicated to safeguarding sensitive data and driving innovative solutions in an ever-evolving threat landscape.

Qualifications

• 8+ years in identity fraud prevention and security engineering.
• Strong expertise in Account Origination and Takeover fraud strategies.
• Hands-on experience with fraud prevention platforms.

Responsibilities

• Own technology strategy for fraud prevention related to AO and ATO.
• Design and implement risk-based authentication solutions.
• Collaborate with teams to develop real-time fraud detection controls.

Skills

Identity Fraud Prevention

Risk-Based Authentication

Fraud Detection Technologies

Machine Learning

Problem-Solving Skills

Analytical Skills

Communication Skills

Education

Bachelor's Degree in Related Field

Tools

ThreatMetrix

AWS

GCP

Azure

SAS

Feedzai

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

We are seeking a Staff Engineer – Identity Fraud Prevention to serve as the senior technical resource supporting our fraud prevention team. This role will own the technology design and strategy to combat identity-related fraud, including Account Origination (AO) and Account Takeover (ATO) attacks. You will play a pivotal role in building resilient, scalable, and intelligent fraud prevention solutions by leveraging modern CIAM (Customer Identity and Access Management) and fraud detection platforms.

This is a highly technical leadership role that requires deep expertise in identity security, fraud prevention, authentication technologies, and risk-based decisioning. You will collaborate closely with fraud analysts, data scientists, engineering teams, and security teams to design, implement, and optimize fraud defenses that protect millions of users.

Key Responsibilities:

• Own the technology strategy and architecture for fraud prevention related to AO and ATO across the enterprise.
• Design and implement risk-based authentication (RBA), step-up verification, and identity proofing solutions to mitigate fraudulent access attempts.
• Partner with fraud operations, cybersecurity, data science, and engineering teams to develop and deploy real-time fraud detection and prevention controls.
• Evaluate, select, and integrate best-in-class CIAM, fraud detection, and identity verification technologies (e.g., risk-based authentication, device intelligence, behavioral biometrics, bot mitigation).
• Develop machine learning-driven fraud models and signals to detect anomalies in identity-related behaviors.
• Collaborate with security and IAM teams to enhance MFA, passwordless authentication, and adaptive access policies.
• Build automated fraud orchestration capabilities that adapt in real time to emerging threats.
• Stay ahead of the latest fraud trends, including synthetic identity fraud, credential stuffing, and bot-driven ATO attempts.
• Guide engineering teams on secure coding practices to prevent vulnerabilities that could be exploited for fraud.
• Partner with external vendors and industry leaders to continuously enhance fraud defenses.

Required Qualifications:

• 8+ years of experience in identity fraud prevention, IAM/CIAM, security engineering, or fraud technology development.
• Strong expertise in Account Origination (AO) and Account Takeover (ATO) fraud prevention strategies.
• Hands-on experience with fraud prevention platforms, such as ThreatMetrix or similar.
• Deep knowledge of CIAM solutions like ForgeRock, Ping Identity, Microsoft Entra, or similar.
• Strong understanding of risk-based authentication, step-up authentication, and identity proofing technologies.
• Proficiency in anti-fraud techniques, including behavioral biometrics, device fingerprinting, bot mitigation, and anomaly detection.
• Experience implementing real-time fraud detection and risk scoring models using machine learning and behavioral analytics.
• Hands-on experience with APIs, microservices, and cloud-based architectures (AWS, GCP, or Azure).
• Strong programming/scripting skills in Python, Java, or similar languages for building fraud-related automation.
• Familiarity with industry standards and frameworks, such as NIST 800-63, PSD2, FIDO, and OpenID Connect.
• Ability to troubleshoot complex fraud patterns and lead engineering teams in designing effective countermeasures.
• Strong problem-solving, analytical, and communication skills with a passion for fighting fraud.

Preferred Qualifications:

• Experience with fraud signal aggregation and orchestration using tools like SAS, Feedzai, or custom ML models.
• Knowledge of synthetic identity fraud detection techniques.
• Experience designing and implementing zero-trust identity architectures.
• Hands-on experience with bot mitigation solutions, such as PerimeterX, Cloudflare Bot Management, or Akamai Bot Manager.

Protecting what matters most to our associates and consumers by securing our sensitive data and critical assets from current and emerging threats. At The Home Depot, Cybersecurity encompasses Architecture, Governance, Identity & Access Management, Internal Threat Operations, Issue and Compliance Management, Risk Assessment/Advisory, Security Consulting, Security Operations, Service Optimization, and Strategic Planning.

Additional Responsibilities:

• Design, review, and execute solutions to protect the enterprise; lead, mentor, and provide guidance; facilitate vulnerability management programs across systems, networking, and engineering teams; develop, test, deploy, and operationalize security monitoring, assessment, and response solutions.

Management and Logistics:

• This position typically reports to a Manager or Sr. Manager.
• This position has 0 direct reports.

Travel and Physical Requirements:

• No travel required.

• Most of the time is spent sitting in a comfortable position with frequent movement opportunities. Rarely, light lifting may be required.

Working Conditions:

• Located in a comfortable indoor environment. Unpleasant conditions are infrequent and not objectionable.

Minimum Qualifications:

• Must be 18 years or older.
• Legally permitted to work in the United States.

Education and Experience:

• Bachelor's degree or equivalent in a related field.
• 8+ years of relevant experience.

Core Competencies:

• Action Oriented, Collaborates, Drives Engagement, Communicates Effectively, Customer Focus, Drives Results, Manages Conflict.

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range is between $125,000 - $160,000.