The Fraud Consulting Lead is responsible for building and maturing our retro-as-a-service and POC program and driving adoption of our fraud products. The role sits between our data team and the customer (i.e., the role will not build the models, but will need to understand the output well enough to clearly and compellingly present the business case and work with technical stakeholders 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 (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
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 (but not limited to) 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.
