We are looking for exceptional Data Analysts to identify potential fraud and risks in our consumer and merchant businesses. Join us in a race to identify patterns and trends to stay ahead of the dynamic fraud landscape. You will be working extensively with Data Scientists, Software Engineers and Product Managers to detect unusual patterns, combat financial crimes and prevent fraudulent activities.
Investigate anomalies in our data and operationsPoint out potential weaknesses in products, systems, processes and recommend feasible preventive measuresLiaise with cross functional teams to create risk management tools for multiple use casesCommunicate frequently with internal stakeholders to share your business insightsIdentify, analyze, and interpret trends or patterns in complex data sets
Degree in Computer Science, Business Analytics or related quantitative fields (Mathematics, Economics, Computer Science, Information Management or Statistics)Having 2+ years of experience in an analytical roleStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy and present them in a clear and coherent manner.Ability to write complex SQL queries and preferably experience with PostgreSQL, BigQuery and data visualisation tools (Tableau, etc).Experience working in fraud/risk/compliance areas.Proficiency in one or more programming languages including but not limited to Python, R.You take initiative and ownership and you dare to make decisions. You enjoy a start-up environment with little supervision.