About Veryfi, Inc.
About the role
Veryfi deals with business documents. We are a fast-growing company that deals with countless business documents of all types. The ability to discern fraudulent documents is pivotal to our company. Our customers rely on us to tell apart fraud submission from the genuine article. The earlier in the process we can pinpoint fraud, the more we can spare the aggravations further down the process line.
Veryfi is looking for a fraud expert to join our AI team to drive innovation in both digital and physical document forgery detection. We want you to be part of the team that will lead in world-class fraud detection.We are looking for someone almost obsessively detail-oriented with equal measure in formal mathematical/academic training and industry seasoning with a proven track record of delivering solutions to very complex problems with your immense creativity. We want someone who not only has written seminal journal papers in relevant fields, but also has some experience being part of a team that has nurtured their work into production.
We expect you to become an expert on analyzing document fraud in all manifestations. Define a clear and comprehensive approach in the fraud identification model that anticipates and adapts to future fraud approach attempts. Fraudsters are only too willing to move on to the next approach once their present scheme is detected. We strive to get ahead of them rather than merely react.
Expectations:
- A razor-sharp intellect
- 2+ years of work experience in fraud detection
- Excellent academic credentials with at least a BS in Mathematics, Statistics, CompSci, etc… We would consider very strong candidates with more years of relevant experience in lieu of alphabets array (MS, PhD)
- Experience with necessary tools including Spark, Elasticsearch, DBs (SQL, NoSQL, GraphDB)
- Strong programming skills - If you need someone else to write into production code your innovative fraud solution then maybe this position is not for you.
Technology
(a) Native Mobile apps: Swift, Objective-C & Kotlin
(b) Backend: Python 3, TensorFlow, APIs on Django, Hub/Web on Flask
(c) IaaS: AWS with auto deploys to 4 geographies (read the deployment posts by Andrew here https://medium.com/the-road-to-silicon-valley)
(d) Database: Amazon Aurora
