You're a seasoned professional with 5-10 years of experience in customer-facing analytical roles within fintech or financial services, comfortable interpreting
Work type: hybrid
Location: New York | San Francisco
Salary: $190,800 – $286,800/yr
Type: Full-time
You're a seasoned professional with 5-10 years of experience in customer-facing analytical roles within fintech or financial services, comfortable interpreting and explaining ML model outputs. **What makes it worth a look...** This is a full-time, hybrid leadership role at Plaid with a salary range of USD 190,800 - 286,800 per year. It offers the chance to shape fraud prevention strategies by working with major financial institutions. **You might be a good fit if you...** * Have managed consultative customer engagements, owning both the deliverable and the relationship. * Can clearly and compellingly present the business case and ROI of fraud products to technical and non-technical stakeholders. * Are comfortable interpreting ML model output like precision/recall and score distributions. * Have a background in data science or ML engineering, especially in fraud or risk teams.
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.
Our Fraud team's mission is to help companies detect and prevent fraud using financial network data. We believe that transaction patterns, device signals, and behavioral data are an underleveraged tool in fraud prevention.
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:
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.)