Safeguards Analyst, Account Abuse

Responsibilities:- Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators- Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse- Evaluate, integrate, and operationalize third-party vendor signals assessing whether new data sources provide genuine lift in detection- Expand internal account signals with new data sources and behavioral indicators to improve detection coverage- Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness- Operationalize and iterate on enforcement tooling including appeals workflows, review processes, and user communications to maintain quality and scale with growing volume- Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve- Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners- Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes- Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows- Maintain detailed documentation of signal development, enforcement processes, and operational decisions Qualifications:- 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement- Hands-on experience building detection systems, risk models, or enforcement processes and workflows- Experience evaluating and integrating third-party data sources into detection or scoring pipelines- Strong SQL and Python skills this role involves heavy data analysis across complex, multi-table data relationships- Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications- Demonstrated ability to analyze complex data problems and translate findings into actionable improvements- Strong written and verbal communication skills ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations- Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field You might be a good fit if you:- Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role identity verification, trust and safety, or similar- Are comfortable working with ambiguous, noisy data and extracting meaningful signal- Think critically about signal quality and enforcement performance evaluating whether new detection signals or processes meaningfully improve outcomes- Have experience with graph-based data, account-linking problems, or cross-functional process design- Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches- Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows- Can balance deep analytical work with cross-functional collaboration and stakeholder coordination- Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)The annual compensation range for this role is listed below.For sales roles, the range provided is the roles On Target Earnings (

Created: 2026-02-16