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Data Scientist - Fraud Detection

Veryfi, Inc.

San Mateo, CAFull-timeSeen 1mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
San Mateo, CA
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Veryfi seeks a fraud expert to join its AI team, focusing on digital and physical document forgery detection. The role demands a detail‑oriented individual with strong mathematical or academic training and industry experience, capable of developing innovative, production‑ready fraud detection solutions.

Skills & qualifications

RequiredNice to have

Skills

SparkElasticsearchSQLNoSQLGraphDBProgramming

Qualifications

Bachelor's in Mathematics, Statistics, Computer Science or Equivalent2+ Years Fraud Detection Experience

Full job description

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.

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