Our client is in the Financial Services industry.
Responsibilities
- Drive all elements of the execution of collections and recovery strategies as set by Risk and executed by 3rd party vendors.
- Collaborate with key stakeholders across various banking products including Debt Review matters.
- Maximize collections and recoveries by managing relationships and performance with External Debt Collectors and Debt Review parties
- Conduct regular audits and call listening to uphold TCF guidelines and bank compliance.
- Review daily dialler stats to optimize contact RPC and PTP outcomes
- Investigate and resolve customer queries and complaints promptly while protecting the Brand
- Assist with documentation requested for Debt Review matters promptly
- Ensure that uptodate and accurate product process and training documentation is developed and shared with external parties
- Implement and manage ad hoc collection campaign processes (e.g. undue enrichment card collections)
Requirements
Requirements
- Minimum of 5 years experience in Collections and Recoveries
- At least 3 years experience in Collections Management or as a Supervisor
- Minimum of 3 years experience in collections within banking or financial services with personal loans experience being essential
- Proficient in dialer strategies and operations within a collections environment
- Solid understanding of collection and recovery processes and methodologies
- Knowledge of Debt Review legislation and associated processes
- Familiarity with relevant debt collection legislation and legal guidelines
- Essential: Previous experience managing relationships with External Debt Collectors
Bachelor s degree in Computer Science, Statistics, Economics, Business, or a related field. A Master's degree is preferred 3 years of proven experience in data analysis, preferably in a business intelligence or analytics role Proficiency in Python and SQL for data manipulation and analysis. Experience with data visualisation tools such as Tableau or similar is a plus Strong business acumen with the ability to understand and translate business needs into data-driven solutions Solid understanding of statistical concepts and experience with predictive modelling techniques