Fraud Solutions Consultant

Plaid
New York
Workplace: HybridFull timeUSD 181,200 - 265,800 annuallyFunction: Customer Success & Account ManagementExperience: 5-10 yearsSkills: ["Stakeholder management","Communication","Customer engagement","Analytical thinking"]

Drive Plaid’s retro-as-a-service and POC program by partnering with customers and internal stakeholders to translate fraud findings into production adoption. Help customers understand the ROI of Protect, interpret ML model output (e.g., precision/recall, score distributions), and present a compelling business case. Act as a feedback loop between customers and product to shape the Protect roadmap.

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Plaid
Plaid
4 months ago

Fraud Solutions Consultant

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Last checked: 3 hours agoStatus: Live

Job Summary

Drive Plaid’s retro-as-a-service and POC program by partnering with customers and internal stakeholders to translate fraud findings into production adoption. Help customers understand the ROI of Protect, interpret ML model output (e.g., precision/recall, score distributions), and present a compelling business case. Act as a feedback loop between customers and product to shape the Protect roadmap.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Customer Success & Account Management
Seniority: Mid level

Key Responsibilities

  • •Own the retro and POC process end-to-end with customers and internal stakeholders.
  • •Partner with customers to explain the ROI of Protect and recommend how to implement 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 the Protect roadmap.

Pay and Benefits

Salary: USD 181,200 - 265,800 annually
Perks:Health InsuranceDentalVision401k

Key Requirements

  • •5-10 years of experience in a customer-facing analytical role in fintech, financial services, or related domains.
  • •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 non-technical audiences.
  • •Nice to have: background in data science or ML engineering, especially on fraud or risk teams.
Experience:5-10 yearsFintechFinancial servicesFraudRisk
Skills:Stakeholder managementCommunicationCustomer engagementAnalytical thinking
Tech Stack:Machine learningMLPrecision/recallScore distributions

Company Brief

Plaid
Provides APIs that enable applications to connect with users’ bank accounts, verify financial data, and power payment and account verification workflows for fintechs and financial services companies.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn