What are the responsibilities and job description for the Digital Fraud Product Manager position at HTD Resources, LLC?
Role: Digital Fraud Product Manager
Mode: Hybrid
Duration: Long term Contract (W2)
Location: Jacksonville, FL
Job Description:
KEY RESPONSIBILITIES
- Define and own the end-to-end product roadmap for digital fraud prevention, covering account takeover (ATO), identity fraud, synthetic identity detection, payments fraud, and first-party fraud across digital channels.
- Lead discovery, prioritization, and delivery of fraud product features in collaboration with data science, fraud operations, engineering, and compliance stakeholders using Agile/Scrum methodologies.
- Partner with fraud risk and financial crimes teams to define fraud detection rules, model thresholds, and escalation workflows that minimize false positives while reducing fraud losses.
- Drive the evaluation, selection, and integration of third-party fraud detection vendors and tools (e.g., NICE Actimize, Verafin, Featurespace, or equivalent) with core banking and digital platforms.
- Translate complex regulatory requirements (BSA, AML, FinCEN, Regulation E) into product controls and ensure fraud prevention capabilities remain compliant with evolving financial crime regulations.
- Develop and monitor key fraud performance metrics including fraud loss rates, false positive rates, detection rates, and customer friction indicators; present findings and recommendations to executive stakeholders.
- Collaborate with UX and digital channel teams to design low-friction customer authentication and identity verification experiences that deter fraud without degrading the customer journey.
- Manage the fraud product backlog, write detailed user stories, and work with engineering to ensure on-time, high-quality delivery of fraud capabilities across sprint cycles.
REQUIRED QUALIFICATIONS
- 10 years of product management experience, with at least 3 years focused on digital fraud prevention, financial crime risk, or trust & safety within a bank, fintech, or payments company.
- Deep understanding of digital fraud typologies including account takeover, synthetic identity fraud, card-not-present fraud, social engineering, and money mule schemes in banking contexts.
- Proven experience working with fraud detection platforms, transaction monitoring systems, and identity verification tools in a financial services environment.
- Familiarity with relevant regulatory frameworks including BSA/AML, FinCEN guidance, Regulation E, KYC/CDD requirements, and CFPB expectations for fraud controls.
- Strong analytical skills with ability to interpret fraud data, model outputs, and KPI dashboards to drive product decisions and communicate risk posture to senior leadership.
- Experience managing Agile product backlogs, writing user stories, and collaborating with cross-functional engineering and data science teams to deliver fraud detection capabilities.
- Must be local to or willing to relocate to Jacksonville, FL (hybrid role); this position is not eligible for visa sponsorship.
TECH STACK
NICE Actimize | Verafin / Nasdaq | Featurespace | LexisNexis ThreatMetrix | Socure | Splunk | Python / SQL | JIRA / Confluence | Tableau / Power BI | REST APIs | AWS / Azure | Device Fingerprinting | Biometric Authentication
PREFERRED QUALIFICATIONS
- Experience with AI/ML-driven fraud detection models, including real-time transaction scoring, behavioral analytics, and anomaly detection in high-volume digital banking environments.
- Background in payments fraud prevention across ACH, wire, Zelle, RTP, or card-not-present channels within a regulated financial institution.
- Knowledge of KYC/CDD onboarding fraud controls, deepfake detection, synthetic identity mitigation, and document verification platforms (e.g., Socure, Jumio, or Onfido).
- Certified Fraud Examiner (CFE) or ACAMS certification, or equivalent financial crime compliance credentials.
- Experience collaborating with second line of defense (Risk & Compliance) and internal audit teams in a banking regulatory environment.
Thank you,