Job Description:
-
Own portfolio analytics end-to-end: vintage analysis roll-rate/flow-rate tracking
-
liquidation curves recovery/cure performance and channel-wise contribution
-
analysis to identify levers and risks.
-
Design and optimize collections strategy across buckets and channels:
-
segmentation contact policy allocation logic and agency distribution; build an omni-
-
channel allocation approach (who to contact when and via which channel).
-
Run champion challenger experiments and controlled tests (scripts channel mix
-
contact windows offer structures agency allocations) and track impact over time to
-
evolve the best strategy.
-
Define and track collections KPIs across operations and agencies (e.g. right-party
-
contact PTP and kept PTP cure/roll-back recovery productivity cost-to-collect)
-
and translate insights into actions with call/field/digital teams.
-
Develop and maintain predictive models in Python (e.g. propensity-to-pay cure
-
probability contactability channel selection) and productionize requirements with
-
Tech/Engineering teams (data needs score refresh cadence monitoring).
-
Build and own the collections measurement framework and reporting suite
-
(Tableau): daily bucket dashboards weekly performance packs monthly vintage/roll-
-
rate packs agency scorecards and settlement/legal trackers with clear metric
-
definitions and reconciliation logic.
-
Work with multiple data sources (LMS collections system dialer field app payment
-
rails CRM) and drive requirements for data pipelines/ETL and data quality controls
-
with Engineering.
-
Support regulatory/audit-ready analytics for collections conduct and governance
-
(complaints calling compliance agency adherence) enabling oversight and
-
corrective actions.
Job Description: Own portfolio analytics end-to-end: vintage analysis roll-rate/flow-rate tracking liquidation curves recovery/cure performance and channel-wise contribution analysis to identify levers and risks. Design and optimize collections strategy across buckets and channels...
Job Description:
-
Own portfolio analytics end-to-end: vintage analysis roll-rate/flow-rate tracking
-
liquidation curves recovery/cure performance and channel-wise contribution
-
analysis to identify levers and risks.
-
Design and optimize collections strategy across buckets and channels:
-
segmentation contact policy allocation logic and agency distribution; build an omni-
-
channel allocation approach (who to contact when and via which channel).
-
Run champion challenger experiments and controlled tests (scripts channel mix
-
contact windows offer structures agency allocations) and track impact over time to
-
evolve the best strategy.
-
Define and track collections KPIs across operations and agencies (e.g. right-party
-
contact PTP and kept PTP cure/roll-back recovery productivity cost-to-collect)
-
and translate insights into actions with call/field/digital teams.
-
Develop and maintain predictive models in Python (e.g. propensity-to-pay cure
-
probability contactability channel selection) and productionize requirements with
-
Tech/Engineering teams (data needs score refresh cadence monitoring).
-
Build and own the collections measurement framework and reporting suite
-
(Tableau): daily bucket dashboards weekly performance packs monthly vintage/roll-
-
rate packs agency scorecards and settlement/legal trackers with clear metric
-
definitions and reconciliation logic.
-
Work with multiple data sources (LMS collections system dialer field app payment
-
rails CRM) and drive requirements for data pipelines/ETL and data quality controls
-
with Engineering.
-
Support regulatory/audit-ready analytics for collections conduct and governance
-
(complaints calling compliance agency adherence) enabling oversight and
-
corrective actions.
View more
View less