Fraud Model Consulting Lead

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

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

[Nice to have] 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