Fintech, Mobile Banking, Financial Services

Lead Product Manager, Fraud Risk

New York, NYOnsiteFull TimeLead$185,000–$250,000 /yrPosted 1 month ago

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Required skills

fraud risk
product management
fintech
rules engines
device signals
behavioral signals
case management
model-based decisioning
KYC
CIP

Nice to have

trust & safety
fraud risk vendor
identity verification systems
AI tooling
agentic workflows
vendor integration

Role summary

Current, a leading consumer fintech platform, seeks a Lead Product Manager for Fraud Risk to build and own a new first-line fraud risk capability. This role involves end-to-end discovery, architecture, and roadmap planning for fraud detection, prevention, and resolution systems. The ideal candidate has deep, hands-on experience with fraud risk systems, including rules engines, signal ingestion, and model-based decisioning, ideally within fintech. Responsibilities include defining product strategy for KYC/account controls, leading system design, owning delivery, and leveraging AI/agentic tools. This role requires strong analytical skills and the ability to collaborate with engineering, data science, compliance, and customer service.

LEAD PRODUCT MANAGER, FRAUD RISK

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.

ABOUT THE ROLE

Current is hiring a leader to build a dedicated first-line Fraud Risk capability. Today, 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.

RESPONSIBILITIES

You will 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.

You will own product strategy for KYC and account-related risk controls — onboarding, ongoing monitoring, and account access — balancing member experience against fraud while ensuring compliance.

You will 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.

You will own delivery end-to-end, from detailed spec through engineering build, QA, staged rollout, and production launch.

You will own transaction limits, rules, and controls across products and rails, including how they're set, tested, and adjusted over time.

You will, alongside engineers, 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.

You will 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.

You will 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.

ABOUT YOU

You have spent your career in fraud risk, and you understand these systems from the inside, not just fraud strategy, but how the systems are actually built and operated: rules engines, signal ingestion, model scoring, case management, and the trade-offs between friction and loss. You are 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. You embrace modern AI tools and agentic workflows to accelerate product discovery, streamline workflows, and automate manual tasks. You 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.

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.

This role has a base salary range of $185,000 - $250,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

BENEFITS

Competitive salary

Meaningful equity in the form of stock options

401(k) plan

Discretionary performance bonus program

Biannual performance reviews

Medical, Dental and Vision premiums covered at 100% for you and your dependents

Flexible time off and paid holidays

Generous parental leave policy

Commuter benefits

Fitness benefits

Healthcare and Dependent care FSA benefit

Employee Assistance Programs focused on mental health

Healthcare advocacy program for all employees

Access to mental health apps

Team building activities

Our modern office with open floor plan, stocked kitchen, and catered lunches

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