This role reports directly to the Head of Anti-Fraud
Prepares regular reports and monitoring of the loan with focus on fraud indicators (first payment default, difference between first and later installments risk, concentrations of risk, concentrations of suspicious indicators on the level of various business entities seller, client, promoter, mobile devices)
Provides analytical support to the Head of Anti-Fraud by massaging data to extract required information (e.g. # of transactions from unique mobile device in the last X days, segment of clients non contactable in the welcome call process or in early collections process, seeking for patterns in the list of suspicious/recently investigated card transactions, )
Helps developing or develops (data science team involvement may be needed) early warning system (EWS) which should identify potentially fraudulent/dangerous behavior, prioritize it for the investigation. The goal is to maximize speed of discovered misconduct and minimization of the potential losses
Understanding of the approval strategies, partial analytical overlap with the underwriting team will be needed
Understanding of the transactions investigation process from the data perspective
Creates/defines data-marts and/or other data structures needed for proper monitoring and analyses of all related processes
Qualifications
Bachelor's Degree in any related field.
1-3 years experience in fraud management is an advantage
Knowledge of data analytics strong in using Excel, SQL, and/or other analytical tool.
Ability to interpret data and patterns discovered in it, problem solving skills
Resourceful, proactive, flexible, and comfortable working in a fast-paced environment.
