Lead Product Manager, Fraud Risk

Current•New York, NY

3d•$185,000 - $250,000•Onsite

About The Position

Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. This role is for a leader to build a dedicated first-line Fraud Risk capability. Currently, key risk decisions, from onboarding controls to fraud detection to transaction limits, are made within the Payments team. As the Lead PM in charge of Fraud Risk, you will think through the discovery, architecture, and roadmap of these systems end-to-end. Success in this role depends on genuine fluency in how fraud risk systems work mechanically: rules engines, device and behavioral signals, case management, model-based decisioning — not just familiarity with fraud strategy at a high level. You'll work day-to-day alongside PMs on Payments and Core Processing, since fraud risk decisions touch the same rails, ledgers, and money-movement systems they own. You'll also partner closely with Engineering, Data Science, Compliance/Legal, and Customer Service leadership to build a fraud risk function that protects members and the business while enabling Current to grow.

Requirements

8+ years of Product Management experience in fraud risk, or trust & safety, ideally within a high-growth fintech or a fraud risk vendor environment.
Deep, hands-on understanding of how fraud risk systems are architected and operated, including rules engines, device/behavioral signals, transaction monitoring, case management, and model-based decisioning.
Direct experience with KYC/CIP onboarding flows and identity verification systems, and a working understanding of the regulatory context (BSA/AML) that shapes them, even if not compliance-facing.
Track record of leading discovery and shaping ambiguous, 0-to-1 problem spaces into a sequenced roadmap, and owning delivery through full production launch, including rollout planning, post-launch monitoring, and iteration.
Experience partnering with engineering on system architecture decisions for fraud risk tooling — build vs. buy, vendor integration design, workflow tooling.
Strong analytical fluency — comfortable using data to diagnose fraud patterns, evaluate control performance, and make loss/friction trade-offs.

Nice To Haves

Comfortable with ambiguity and energized by 0-to-1 work, and are excited about tackling problems from scratch, rather than optimizing an already-mature system.
Embrace modern AI tools and agentic workflows to accelerate product discovery, streamline workflows, and automate manual tasks.
Can go deep with engineers on implementation details and just as easily frame trade-offs for executives and cross-functional partners who don't share your fraud background.

Responsibilities

Define and drive the roadmap for Current's first-line fraud risk capabilities, starting largely from scratch and shaping discovery into a sequenced, prioritized plan.
Own product strategy for KYC and account-related risk controls — onboarding, ongoing monitoring, and account access — balancing member experience against fraud while ensuring compliance.
Lead the design and evolution of fraud detection, prevention, and resolution capabilities, including how signals (device, behavioral, network, transactional) feed into decisioning, e.g., specifying exactly how a new account velocity rule should evaluate, what data it pulls, and what action it triggers.
Own delivery end-to-end, from detailed spec through engineering build, QA, staged rollout, and production launch.
Own transaction limits, rules, and controls across products and rails, including how they're set, tested, and adjusted over time.
Debug and root-cause production issues, e.g., a rule misfiring or a spike in false declines, by tracing the issue through logs, data pipelines, and system flows.
Lead the evaluation, integration, and ongoing optimization of third-party fraud risk vendors and modern AI/agentic tooling, ensuring Current gets full value from these tools while building proprietary capability when it matters.
Leverage and architect AI workflows and autonomous agents to automate risk operations, investigation summaries, and fraud role discovery.
Partner with Compliance/Legal to ensure fraud risk product decisions meet regulatory obligations (BSA/AML, CIP) without over-indexing on compliance at the expense of a workable member experience.