Senior Manager, Fraud Analytics, Risk

Vaga não está no LinkedIn

🕒 Junho 2

🏄 California, New York – Remoto

🏄 California – Remote 🗽 New York – Remote

💵 $104.480 - $153.600 / ano

⏰ Tempo Integral

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🎲 Riscos

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Billy Goat Group

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Advertising • Marketing

O Billy Goat Group é uma empresa especializada em serviços de publicidade direcionada. Eles oferecem soluções para colocar anúncios nos celulares de clientes potenciais que visitam concorrentes ou outros locais estratégicos. O Billy Goat Group oferece soluções de publicidade rápidas e econômicas em comparação com métodos tradicionais de PPC ou SEO, focando no acesso direto aos clientes desejados e no acompanhamento eficiente desde a visualização do anúncio até a entrada no negócio. Sua expertise abrange várias indústrias, incluindo reparo automotivo, construtores de casas, lojas de alimentos para animais de estimação, academias e mais, garantindo campanhas exclusivas para os melhores negócios sem conflitos de interesse.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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