Blackbird Labs

Senior Payments Operations & Fraud Analyst

9.0/10

Blackbird Labs

$120,000 – $150,000 USD
Office / on-site
senior
8 days ago
fintechtechpayments operationsfraud operationsrisk analyticsSQLdispute management

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Description

Payments Operations

  • β€’Monitor whether money is moving from A to B as expected across all flows; build alerting that surfaces anomalies before customers feel them
  • β€’Lead triage and resolution of consumer & restaurant payment issues
  • β€’Process manual refunds and payout adjustments; establish and meet SLAs by issue category
  • β€’Ensure [Bill.com](http://Bill.com) balance is healthy, restaurant payouts are accurate, and operator-facing accounting is usable

Fraud & Risk

  • β€’Own our dispute rate and proactively identify areas of risk exposure
  • β€’Define and operate fraud rulesets, account suspension logic, and escalation processes
  • β€’Investigate ATO, synthetic identity, first-party, and friendly fraud; translate patterns into rule and product changes
  • β€’Manage account recovery and un-suspension edge cases

Tooling & Systematic Improvement

  • β€’Partner with engineering to build ops and fraud tooling from scratch; evaluate third-party partners as we scale
  • β€’Synthesize support and incident patterns into prioritized root-cause fixes
  • β€’Reduce on-call engineering burden by being the first line of investigation

Conditions

  • β€’Depending on your work location and experience the target annual salary for this position can range from: $120,000-$150,000 USD.
  • β€’Full time offers from Blackbird may also include stock options, benefits (including medical, dental, vision, flexible time off, 401(k)), and some not-so-standard, extra-fun perks, subject to applicable taxes and based on eligibility.

Requirements

  • β€’4-7 years in payments operations, fraud operations, or risk analytics at a fintech, payments company, or marketplace
  • β€’Deep familiarity with dispute and chargeback lifecycles, ACH return codes, and fraud typologies
  • β€’SQL fluency; you pull your own data and bring evidence to every recommendation
  • β€’Clear, concise written communication; you can summarize an incident in three sentences for an exec audience
  • β€’High ownership and bias toward systematic fixes over one-off heroics
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