What are the responsibilities and job description for the Cybersecurity Fraud Staff Engineer (Remote) position at Lensa?
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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:
Key Responsibilities:
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.
- 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.
- 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.
Key Responsibilities:
- 100% Deliver Execution, Plans & Aligns, Develop Others - 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, deply and operationalize security monitoring, assessment and response solutions
- This position typically reports to Manager or Sr. Manager
- This position has 0 Direct Reports
- No travel required.
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
- 8
- Action Oriented
- Collaborates
- Drives Engagement
- Communicates Effectively
- Customer Focus
- Drives Results
- Manages Conflict
Salary : $125,000 - $160,000