Fraud Solutions Consultant

Plaid Inc; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) plan

Equity and commission options

Job summary

Plaid Inc in New York seeks a Fraud Consulting Lead to manage retro‑as‑a‑service and POC programs. The role involves working closely with customers to drive product adoption and ensure effective implementation of fraud products.

The ideal candidate should have 5-10 years of experience in a customer-facing analytical role, ideally within fintech or financial services, and be comfortable interpreting machine learning model outputs.

Plaid values diversity and provides an inclusive environment, as well as a comprehensive benefits plan.

Qualifications

• 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or related domain.
• Comfort interpreting ML model output (e.g., precision/recall) to a non-technical audience.
• Experience handling consultative customer engagements, owning the deliverable and relationship.

Responsibilities

• Own the retro and POC process end-to-end and collaborate with customers.
• Partner with customers to help them understand the ROI of Protect.
• Drive post-retro follow-through to convert results into production usage.

Skills

Customer-facing analytical role in fintech

Interpreting ML model output

Consultative customer engagements

Job description

Our Fraud team’s mission is to help companies detect and prevent fraud using financial network data. The Fraud Consulting Lead builds and matures our retro‑as‑a‑service and POC program and drives adoption of fraud products between our data team and customers.

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.
• 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.

Plaid is proud to be an equal‑opportunity employer and values diversity. We do not discriminate based on race, color, national origin, ethnicity, religion, gender, sexual orientation, gender identity, disability, or any other legally protected characteristic. Plaid also considers qualified applicants with criminal histories, consistent with applicable federal, state, and local laws, and provides reasonable accommodations for candidates with disabilities in our recruiting process.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as scope and responsibilities of the position, candidate’s work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.