Director of & Risk at Coinme Remote

About the Role

Coinme’s Payments & Risk team keeps transactions safe, disputes defensible, and fraud controls sharp as we scale across consumer and platform channels. The Director of Payments & Risk owns that mission end to end: the fraud defense strategy, the AI-augmented operation that executes it, and the team that runs it. This is a player-coach role. You set the defense architecture across fraud vendors, card processors, and banking partners, working closely with internal stakeholders such as Compliance, Product and Engineering and you keep enough hands‑on depth to read raw logs and question what a rule actually did.

You build and govern AI‑assisted workflows that carry much of the operational load, and you develop the analysts and scientists who operate them. Decisions here are made on evidence, at speed, and must survive audit, and the function you build must not depend on any single person, including you. You own the economics of risk: losses, recoveries, and the customer friction in between.

• Own the fraud risk strategy and the end-to-end defense architecture across the payments stack: vendor risk engines, internal controls, processor-level gates, and partner-bank requirements, with a current map of which system makes which decision.
• Run the detection portfolio as a measured system: rules, thresholds, models, and velocity limits tuned against quantified false-positive versus fraud-capture tradeoffs, with disciplined change control and post-change monitoring.
• Own the chargeback and dispute program economics: representing strategy, pre-dispute deflection signals (Ethoca, Verifi RDR, Compelling Evidence 3.0), win-rate and net-recovery reporting, and card-network monitoring standing.
• Lead fraud investigations and incident response with evidence-first discipline: reconstruct the decision trail across vendor logs, application telemetry, and processor responses before assigning a disposition; distinguish system defects from legitimate controls; defend legitimate declines against pressure to override; and turn incidents into durable fixes.
• Design and govern AI-native risk operations: agentic workflows for queue triage, decline forensics, fraud-ring detection, chargeback evidence assembly, and scheduled monitoring, with governance to match (QA gates before anything ships externally, human-in-the-loop checkpoints on account-level actions, auditable reasoning trails, and explicit boundaries on what automation may decide).
• Build and develop the team: hire, coach, and grow risk analysts and scientists, and train them to operate and extend the AI-assisted workflows, with documentation and runbooks treated as first-class deliverables.
• Drive root‑cause fixes across the entire payment flow and customer journey: when a risk gap lives in another team’s system (compliance workflows, account lifecycle, internal tooling), own the influence campaign to fix it there instead of compensating downstream, and partner closely with compliance on the fraud/AML seam.
• Manage the vendor and partner ecosystem at both levels: hands‑on (rules, integrations, data quality) and commercial (SLAs, escalation paths, roadmap influence), and coordinate risk posture with processors, sponsor banks, and platform partners.

• You own the full fraud defense architecture with no or minimal regression in loss rate, chargeback ratio, or card‑network monitoring standing through the transition.
• Clearly demonstrating strong decision making capability, especially in a crisis event, where time and rapid response is critical.
• The AI‑assisted risk operation runs as a team‑owned product: documented, version‑controlled, monitored, and extended by the team, with no single‑person dependencies.
• The team is hired, ramped, and closing investigations independently within SLA, each with defensible written rationale.
• Strong focus on fixing any identified process gaps.
• Vendor and processor relationships run on standing commercial reviews: SLAs, escalation paths, and roadmap input.
• Executive reporting is standing and quantified, and it connects risk decisions to profitability.

Experience…