Senior Manager, Fraud Analytics and Risk

About the role

You own the fraud lifecycle end to end, running intake through build, review, ship, and partners while shaping executive risk narratives with clarity and precision. Fast analysis meets clear storytelling as you coordinate product, engineering, and compliance to turn signals into timely action before risk spreads across the business. This role connects fragmented data sources to meaningful controls that protect the marketplace at scale. You will guide AI-enabled use cases from initial sizing through rigorous data quality checks and ongoing value assessment for fraud workflows. You run periodic model and rule performance reviews, driving root-cause work to stop fraud before it escalates and erodes trust. You guide AI and ML governance, aligning fraud experiments with enterprise standards, policy expectations, and registry requirements. You assess vendor fraud tools analytically, weighing effectiveness, overlap, cost efficiency, and measurable risk reduction value to support smart investment decisions.

Key facts

What you'll do

Designing and optimizing fraud rules while monitoring outcomes across intake, build, review, ship, and partners to ensure controls remain effective and efficient.

Owning AI-enabled use cases from sizing through data quality checks and value assessment for fraud workflows, ensuring responsible deployment.

Running periodic model and rule performance reviews, driving root-cause work to stop risk before it escalates and impacts loss or experience.

Guiding AI and ML governance, aligning fraud experiments with enterprise standards and registry requirements to maintain consistency and auditability.

Assessing vendor fraud tools analytically, weighing effectiveness, overlap, cost, and risk reduction value to support informed procurement and integration decisions.

Exploring AI and automation to streamline detection processes and improve team efficiency over time without compromising accuracy or compliance.

Writing complex SQL from scratch to trace connected accounts and orders, surfacing patterns that indicate emerging fraud across channels and touchpoints.

Maintaining executive dashboards that track review rates, chargebacks, model outcomes, and loss trends to provide timely, actionable visibility.

Translating analytical results into executive narratives that clarify impact on loss, operations, and experience for diverse stakeholder audiences.

Identifying anomalies at account and system levels, showing the full problem arc from discovery through analysis to resolution and learning.

Supporting daily review operations including verification, escalation, SLA follow-up, and QA for accuracy and consistency.

Acting as escalation expert for complex cases, coaching staff and refining review steps continuously to strengthen team capability and outcomes.

Partnering with product, engineering, compliance, and legal to align controls with regulations and roadmap priorities in a fast-growing marketplace.

Managing law enforcement requests with thorough documentation and timely responses as needed to uphold legal and compliance obligations.

Requirements

You bring 4-6 years in fraud analytics, strategy, or payments risk, preferably inside fintech or marketplace settings where marketplace risk dynamics are well understood.

You can design and tune fraud detection rules or model thresholds with measurable effect on performance, demonstrating a clear link between changes and outcomes.

You write advanced SQL from scratch, troubleshoot data issues, and communicate findings through clear stories that drive decision-making.

You have hands-on experience with order-level review, chargeback handling, disputes, and regulatory expectations, understanding how these processes intersect.

You build risk reports and stakeholder dashboards, presenting confidently to both technical teams and executives with varying levels of domain knowledge.

You work with AI-enabled workflows responsibly, understanding governance and compliance around model use and data ethics in high-risk contexts.

You synthesize complex information quickly, driving projects forward with light process while spotting system-wide patterns that others miss.

You thrive in fast-moving contexts where priorities shift rapidly as new threats emerge and business needs evolve.

Nice to have

Interest in AI tools that enhance detection workflows and efficiency, used in a governed, responsible, and measurable way that aligns with risk appetite.

Practical notes

This is a full-time role based on a Remote US engagement model with compensation banded by geographic location. The position may involve collaboration across time zones and requires responsiveness during core business hours for effective escalation management and stakeholder alignment.