VP, Fraud Monitoring (Fintech)

Location: Fort Lee, New Jersey, United States; hybrid/onsite role

Salary: $200,000–$250,000 per year

Company

hirify.global builds financial infrastructure and technology solutions for payments, cards, lending, and digital asset products used by fintechs, enterprises, and other partners.

What you will do

• Own front-line fraud prevention and monitoring across business lines, products, payment channels, and partner programs.
• Develop fraud strategies, policies, procedures, escalation frameworks, operational workflows, and performance standards.
• Design, implement, configure, and tune fraud detection rules, models, decisioning systems, alert queues, and disposition processes.
• Administer fraud platforms, including access controls, user provisioning, integrations, upgrades, documentation, and incident response.
• Provide fraud expertise for fintech partner onboarding, due diligence, oversight, controls, SLAs, and network compliance.
• Report fraud trends, losses, KPIs, platform performance, and operational metrics to senior leadership and Board committees.

Requirements

• 10+ years of progressive experience in fraud monitoring, fraud risk management, or financial crimes within banking or financial services.
• Experience with fintech companies, Banking-as-a-Service platforms, sponsor banks, or partner banking models.
• Hands-on administration and configuration of fraud detection platforms such as NICE Actimize, Featurespace, Sardine, Unit21, or Feedzai.
• Deep knowledge of Visa, Mastercard, ACH/Nacha, RTP, FedNow, wire transfers, disputes, chargebacks, and network rules.
• Understanding of card-not-present, account takeover, synthetic identity, authorized push payment, check, and first-party fraud.
• Bachelor's degree in Business, Finance, Criminal Justice, or a related field; knowledge of Reg E, Reg Z, Reg CC, UCC, EFTA, and BSA.

Nice to have

• Experience at an OCC-regulated institution in a sponsor bank capacity.
• Familiarity with API-based banking, program management, and embedded finance models.
• CFE, CAMS, CRCM, or similar certification.
• Experience with machine-learning fraud models and fraud platform migrations, implementations, or major upgrades.
• Juris Doctor degree.

Culture & Benefits

• Collaborative work across Compliance, Operations, Risk Management, Information Security, Product, Engineering, Legal, and external partners.
• Opportunity to support financial products that expand access and opportunity.
• Direct exposure to senior leadership, Board committees, regulators, audit teams, and payment networks.
• Individual contributor role with ownership of fraud technology, strategy, governance, and operational effectiveness.