Credit Risk and Fraud
This team protects our business and customer and ensures that we are responsible finance services provider!
The Credit Risk Team’s driven goal is to improve product-customer fit and business process efficiency. Nowadays, time is highly appreciated value, hence we place importance on shorted and faster credit onboarding, which contains both processes optimization and usage of advanced fin-tech tools.
Credit Risk
The team focus is to ensure that there is profitable growth of the customer base in line with the business plan, managing credit analysis, working on new product developments, testing, and suggesting new credit models and making suggestions for improvements and enhancements to the credit approach and implementing them. This risk comes in different forms, ensuring effective credit performance that can evolve and adapt with our needs, monitoring and evaluating credit, and arrears management strategies to manage credit loss, systems, governance, and reporting and the effective use of systems and partners for all elements of risk management.
Typical roles: Credit Risk Manager, Credit Risk Analyst
Fraud and AML Prevention
Fraud prevention and Anti-money laundering unit advises and assures that the business protects itself. Responsible to ensure controls are in place and operated properly to mitigate risk of fraud and money-laundering across the organization to make IPF Digital trusted advisor to our customers.
Typical roles: Fraud Analyst, Fraud Manager
Data Science
This team leads the design and development of scoring models and the creation of a data engineering roadmap for the strategic decisions and actions working closely and acting as a middleman between the external partners (scoring and modelling service providers) and IPF Digital strategic functions (credit, marketing, IT). It is their responsibility to align the different data requests as well as the different data sources within the organization and stimulate external partners to ensure they move in the right direction.
Typical roles: Data Science Lead