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PlaidPlaidNew York, NY

Fraud Model Consulting Lead

Leads fraud model retro-as-a-service and POC programs, partnering with customers to demonstrate ROI of fraud products and drive adoption. Collaborates between data teams and customers, interpreting ML outputs for technical and non-technical audiences; requires 5-10 years in customer-facing fintech analytics.

181k – 294k/yr
On-site5+ YOESales Engineering

About the role

Responsibilities

  • Own the retro and POC process end-to-end and collaborate with customers and internal stakeholders at Plaid
  • Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products
  • Drive post-retro follow-through to convert retro results into production usage
  • Serve as a feedback loop between customers and product to drive our Protect roadmap

Qualifications

  • 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech)
  • Experience working closely with data science teams
  • Experience managing consultative customer engagements where you owned the deliverable and the relationship
  • Comfort interpreting ML model output (e.g., precision/recall, score distributions) and explaining it to a non-technical audience

Nice to have:

  • Background in data science or ML engineering, particularly on a fraud or risk team
  • Experience in fraud, identity, or risk — either from a fraud prevention vendor, a fraud team at a bank or fintech, or consulting on risk engagements

Skills

Machine LearningData ScienceFraud DetectionRisk ManagementPrecision/RecallMl Model InterpretationFintechConsultative SalesProof Of ConceptROI Analysis
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