About Plaid
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
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