Anti-Fraud Risk Data Analyst (Multiple Positions)

Monitor, audit, and analyze potential fraudulent cases, design processes, and build effective workflows to define characteristics of different fraud types. Understand trends and intelligence of fraudulent activities in each local market and build intelligence monitoring systems to mitigate fraud.

Requirements

• Must have a Master’s degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 1 year of related work experience
• Must have 1 year of experience in each of the following:
• Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing
• Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL
• Developing graphical and visual representations of data using business intelligence tool Excel or Tableau
• Building, tuning, and validating statistical models for regression and classification problems in Python or R

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan

Tagged as: Data Analysis