Safeguards Enforcement Analyst, Fraud & Scams

The shape of it

In the posting’s own words

As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be standing up fraud & scams enforcement as a program: today this work is handled reactively and in fragments — payment fraud, promotional abuse, and scam-pattern enforcement don't yet have a single owner. You'll be that owner: defining the policy area, building the detection-to-enforcement pipeline, and setting the operating model that a contractor bench can execute against. The surface area is broad: payment fraud (stolen cards, chargebacks, disputes), promotional and credits abuse, and the use of accounts to run scams against third parties.

What it asks for · 7

• Deep payment-fraud experience at a fintech, marketplace, or platform — chargebacks, disputes, card-testing, promotional abuse
• Experience building or significantly scaling a fraud program from an early state, not just operating a mature one
• A working command of payment-network and dispute mechanics, sufficient to make strategy calls on them
• Comfort being the sole owner of an area: prioritizing ruthlessly, shipping iteratively, and asking for help precisely
• Comfort using data (SQL or similar tools) to quantify fraud losses and control efficacy
• Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders
• Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Also a plus

• Experience working directly with payment service providers and card networks on fraud strategy
• Experience with scam typologies beyond payments — social engineering, impersonation, platform-mediated scams
• Experience managing vendor relationships in the fraud/risk detection space
• A deep interest in AI safety and responsible technology development
• Experience writing effective prompts for generative AI systems in a content review or enforcement context

What the job covers

• Define the fraud & scams policy taxonomy and how cases are classified, prioritized, and escalated
• Investigate and dismantle organized abuse rings, converting findings into durable controls
• Stand up proactive fraud detection and customer-facing communication flows for fraudulent organization cases
• Build the dispute and chargeback strategy in partnership with payments and card-network partners
• Quantify fraud losses and control efficacy to drive investment decisions
• Author the contractor playbook for fraud review and own QA of scaled output
• Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows

Tools and skills named

Words the posting leans on

• fraud10×
• enforcement8×
• experience7×
• abuse5×
• payment5×
• scams5×
• area4×
• dispute4×
• policy4×
• build3×
• owner3×
• strategy3×
• account2×
• building2×
• card2×
• cases2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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