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Fraud Analyst
Posted on 10/19/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
R
SQL
Tableau
Python
Requirements
  • Strong knowledge of financial products, including ACH, RDC, debit cards, credit cards, lending products, and deposit accounts
  • Knowledge of fraud management systems such as Falcon, RSM, JackHenry, Iovation, Threat metrics, Verafin, Feedzai etc
  • Deep understanding of the financial fraud space
  • Experience creating and optimizing fraud prevention rules and strategies
  • Knowledge of a scripting programming language such as Python
  • Strong BI and analytics skills and knowledge of tools such as SQL/Athena Rule rationalization and governance
  • Coaching and mentoring other analysts
Responsibilities
  • Develop new data driven rules that optimize decisioning performance between Member experience and fraud prevention
  • Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools
  • Aggregate and Analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods
  • Find insights from risk data sets to improve fraud strategies and rules
  • Participate in regular review of activities involving different fraud topologies
  • Able to lead fraud/risk investigations for both simple and complex cases to successful conclusion and mark false positives and false negative cases
  • Complete investigation of customers and transactions flagged by the Bank's automated monitoring system(s), manual reports, and/or referrals
  • Define, implement and manage rule rationalization and governance process
  • Review work of other analysts and provide guidance and support
Desired Qualifications
  • 3-5 years of fraud or risk experience focused on the risk strategy and risk analytics; experience working at a FinTech or start-up is a plus
  • 3+ years of experience in SQL queries, Tableau (and other BI tools), and day-to-day use of R/Python is a plus
Varo

501-1,000 employees

Online banking