Day 1: Sep 18, 2025
Day 2: Sep 19, 2025
2:00 pm
FIRESIDE: LOSS MITIGATION
Optimizing Efficiency and Loss Mitigation in Financial Services
- Using predictive analytics to have smarter and more targeted recovery strategies. A one size fits all strategy for loss mitigation is inefficient. Using predictive analytics to drive segmented strategy that allows for hyper targeted approaches using data backed customer grouping and strategies.
- Automating manual risk processes to increase accuracy and shift FTE focus on tasks that require more manual intervention. Manual processes not only slow down decisioning but also introduce avoidable errors. Automation in risk monitoring and analytics unlocks speed, scale, and sharper decision-making.
- Use behavioural and demographic data into risk strategy. Behavioural patterns (e.g., login frequency, partial payments) and demographic data (e.g., income tier, location, age) are strong early indicators of credit stress, often surfacing before delinquencies hit.
- Strategic vendor management to ensure optimized recovery growth. By implementing plans like champion/ challengers and curated account allocation thereby playing to the strengths of each vendor, recovery vendors can turn into innovation partners and performance drivers.
- Break silos- combine financial, risk, and customer operations data to drive precision in every credit and recovery decision. Integrate insights from FP&A, and every part of the credit risk lifecycle team to inform smarter, end-to-end decision-making. These signals help identify performance trends, risk flags, and operational bottlenecks.
