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GOAT Group

Senior Manager, Fraud Analytics and Risk

УдалённоUnited States толькоВ архиве
Опубликовано
Роль
Data Science
Опыт
Синьор
Занятость
Полная занятость
$122.9k–$153.6k/yr
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Коротко по делу

Senior Manager for Fraud Analytics and Risk with 4-6 years of experience in fraud analytics, strategy, or payments risk, ideally in fintech, e-commerce, or marketplaces. Requires strong SQL proficiency and hands-on experience with fraud review, chargebacks, and risk reporting. Must be able to present findings to senior leadership and have experience with AI-enabled workflows or a strong interest in applying AI to fraud and risk.

Ключевые навыки

fraud analyticsrisk managementAI

Обязательные навыки

SQLSnowflake

Обязательные языки

English

Чем предстоит заниматься

  • Own the fraud rule lifecycle — designing, testing, deploying, and continuously optimizing detection rules and thresholds to maximize catch rate while minimizing friction.
  • Lead AI-enabled fraud use cases end-to-end: use-case sizing, feature ideation, population analysis, and data quality assessment to ensure solutions are analytically sound and value-accretive.
  • Conduct periodic performance reviews of fraud models and rules; drive root-cause investigations to proactively surface risk before it scales.
  • Serve as a trusted advisor for AI and ML use cases within fraud, ensuring alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry.
  • Evaluate vendor fraud solutions through an analytical lens — assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives.
  • Stay current on AI and automation tools and actively explore how they can enhance fraud detection workflows and efficiency.
  • Write and maintain intermediate-to-advanced SQL queries to investigate fraud signals, identify connected accounts and orders, and surface emerging patterns.
  • Develop and maintain executive dashboards covering fraud review rates, chargeback performance, model effectiveness, and loss trends.
  • Translate complex analytical findings into clear, executive-ready narratives — articulating implications for fraud loss, operational efficiency, and customer experience.
  • Proactively identify trends and anomalies at both the individual order and systemic level, communicating the full arc of a problem — from discovery to resolution — to any audience.
  • Support daily fraud review operations — account verification, order review, escalation handling, SLA adherence, and QA.
  • Serve as an internal escalation point for complex cases; assist in coaching the team and continuously improve review processes.
  • Partner cross-functionally with Product, Engineering, Compliance, and Legal to align fraud controls with regulatory requirements and product priorities.
  • Manage law enforcement requests as needed.

Что требуется

  • 4–6 years in fraud analytics, fraud strategy, or payments risk — ideally within fintech, e-commerce, or a marketplace.
  • Demonstrated experience designing and optimizing fraud detection rules or model-driven thresholds.
  • Strong SQL proficiency — complex queries from scratch, data troubleshooting, and data storytelling; Snowflake or similar a plus.
  • Hands-on experience with order-level fraud review, chargebacks, dispute management, and regulatory compliance.
  • Proven ability to build risk reporting and stakeholder dashboards, and present findings confidently to both technical peers and senior leadership.
  • Experience with AI-enabled workflows and/or an active interest in applying AI to fraud and risk — including responsible, governance-aligned use.
  • Self-starter who synthesizes complex information quickly, drives projects forward without heavy oversight, and connects individual cases to systemic patterns.
  • Comfortable in a fast-paced environment where priorities shift as the threat landscape evolves.

Преимущества

  • 401K, paid time off, dental, medical, vision, disability, life insurance options.

Retail

🇺🇸 Соединенные ШтатыE CommerceСредняя
$122.9k–$153.6k/yr