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Fraud Analytics Specialist
Posted on 6/14/2022
New York, NY, USA
Experience Level
Desired Skills
Apache Hive
Apache Spark
Data Analysis
Data Science
  • 2-4+ years of analytical experience in complex analytics roles such as fraud or lending analytics
  • Bachelor degree in computer science, mathematics or data science
  • Expert-level SQL and data analysis skills
  • 2+ year of exp in SQL/Pyspark/ Python/data query languages
  • Strong BI and analytics skills and knowledge of tools such as SQL/Athena/Hive/Spark
  • Good understanding of the financial fraud space
  • Good knowledge of financial products, including credit cards, lending products, and deposit accounts
  • Experience with fraud tools such as Iovation, Socure, Emailage or similar a plus
  • 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, designing, and implementing existing and new fraud detection tools
  • Aggregating and analyzing internal and external risk datasets to understand the 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
  • Create bank's automated fraud monitoring system(s) for fraud operation team
Desired Qualifications
  • Experience working at a FinTech or start-up is a plus
  • Experience in Regression Modeling, Decision Tree Modeling, Data Cleaning, risk segmentation, Hive, Data Engineering is a plus
  • Experience creating and optimizing fraud prevention rules and strategies is a plus

501-1,000 employees

Online banking