Senior Collection Strategy Analyst

Description

Job Summary: We are seeking an analytical professional to work in a strategic collections area, defining recovery policies and portfolio recovery targets. Key Highlights: 1. Strategic involvement with definition of recovery policies and targets 2. Data analysis and manipulation (Python / SQL) 3. Establishment and monitoring of collection controls and KPIs If you possess strong analytical skills, enjoy working with data, and wish to contribute to a strategic function, this opportunity is for you! We seek a professional to join our collections structure, with responsibilities spanning from operational to strategic levels — ranging from supporting back-office areas to defining portfolio recovery policies and targets. **Your day-to-day responsibilities will include:** Supporting other teams within the collections structure by performing support and back-office tasks (system postings, negotiation adjustments, and reversals). Ensuring process control, productivity, and high-quality standards (campaign performance measurement). Generating operational reports to monitor collections operations performance. Producing reports to monitor collections operational activities. Developing financial controls for expenses and revenues, as well as controls to validate commission and collections-related expenses. Portfolio assessment and definition of product- and collections-phase-specific strategies. Defining collection policies and strategies (negative listing, discount policy, settlement agreements, and communication strategy across the collections ladder). Setting recovery targets by product and collections phase (including third-party management). Daily generation of mailings for operational teams (internal collections). **Requirements:** Practical experience in data analysis and data manipulation (Python / SQL). Experience in establishing and monitoring collection controls and KPIs (Excel and Power BI). Knowledge of collections practices in collection agencies, banks, or finance companies. Educational Background: Bachelor’s degree in quantitative fields — Statistics, Computer Science, Mathematics, Engineering, Physics, or related disciplines.