Manager, Fraud Strategy & Operations

Manager, Fraud Strategy & Operations Payactiv, Inc. - 3.5 Milpitas, CA Job Details $120,000 - $150,000 a year 1 hour ago Benefits Unlimited paid time off Dental insurance 401(k) Tuition reimbursement Paid time off Family leave Vision insurance 401(k) matching Gym membership Volunteer time off Qualifications SQL Key Performance Indicators MFA Cross-functional collaboration Python Cross-functional communication

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Payactiv's Milpitas, CA Headquarters Reports to: VP Consumer Banking and Payments Who we are… We are Payactiv, a FinTech company devoted to giving workers access to their earned wages when they need them. Payactiv is the pioneer and industry leader in Earned Wage Access — the only Certified B Corporation and Public Benefit Corporation in our industry. Our platform helps millions of workers avoid debt, build financial stability, and take control of their financial lives. We partner with thousands of employers who recognize that financial wellness isn't a perk — it's the foundation of a loyal, engaged workforce. Payactiv is seeking a Manager, Fraud Strategy & Operations who will serve as a key operational partner to the VP of Consumer Banking, Payments and Fraud, supporting day-to-day execution of fraud programs and initiatives across Payactiv's consumer banking and payments ecosystem, including cards such as credit, debit, prepaid, etc. The person in this role will be the technical mastermind behind the Payactiv fraud rules engine. The primary function will be to design, implement, and optimize the real-time decisioning logic for our card portfolio. The person does not just monitor fraud, the person engineers its prevention. Using advanced data analytics, the person will write the rules that intercept fraudulent transactions in milliseconds while ensuring that legitimate users never face embarrassment at the register. The person will be the bridge between raw data and actionable security. What you will do… Rules engine strategy and ownership Author complex, multi-factor fraud rules (e.g., using FICO Falcon, Actimize, Sardine, etc.) that evaluate 200+ data points per transaction, including merchant category, velocity, IP reputation, and behavioral biometrics. Manage the constant lifecycle of a rule. Proactively audit the legacy ruleset to retire stale logic that no longer catches fraud but still adds latency or causes false positives. Identify and resolve rule overlap where multiple rules trigger on the same pattern, ensuring the decisioning engine remains lean and fast. Champion-challenger testing and simulation Before any new rule goes live, it must be tested in shadow mode, testing it against 30 days of real historical traffic to predict exactly how many good users it would have blocked. Justify every new rule with a data-backed cost-benefit analysis. For example, "This rule will stop $50k in monthly fraud but will block 12 legitimate users, the trade-off is acceptable" Rather than static rules, write dynamic and adaptive rules that adjust thresholds based on the user's individual behavior. Data forensics and emerging pattern detection Use SQL and Python to perform cluster analysis. For example, if three cards are used at the same digital merchant within 5 minutes, one must identify if this is a carding attack and write a temporary circuit breaker rule immediately. Link data from EWA transfers, direct deposits, and card swipes to identify account takeovers (ATO). Incorporate external merchant risk data to write rules that are stricter at high-risk digital goods stores but leaner at local grocery stores. Performance tuning and KPI accountability Optimize false positive ratio and keep it below mandated threshold. If fraud losses spike in a specific category (like Travel or Fast Food), pivot the strategy within hours to close the gap. Ensure rules don't accidentally decline high value transactions that generate significant interchange revenue unless the risk score is undeniably high. What you need… 4-7+ years of experience in fraud strategy and operations Deep experience in authoring rules on real-time decisioning platforms and measuring relevant KPIs with appropriate trade-offs Hands-on experience with SQL and Python Strong technical knowledge of the

ISO 8583

messaging standard and the card authorization lifecycle Good organizational and execution skills with ability to manage multiple priorities Experience working cross-functionally in demanding environments Analytical mindset with attention to detail What we offer… Company sponsored Health, Dental, and Vision insurance 401K, traditional, and Roth with a company match Tuition Assistance or Tuition Reimbursement Unlimited Paid Time off Monthly Gym Reimbursement Paid time off to volunteer Paid Family Leave Complimentary lunches onsite Opportunity to grow Opportunity to work with a great team committed to making a difference. Salary range $120k to $150k + Bonus