Top level Collections Risk Evaluator at Fairmoney Microfinance Bank in Lagos

Job Description

A highly logical specialist with in-depth understanding in Anticipated Credit Loss (ECL) modeling predicting and collections risk assessment.
This position is critical in shaping analytics-based recovery plans by evaluating delinquency practices, risk segmentation, and project sample effectiveness.
The individual must possess a deep knowledge of how predictive models work, effect collections plans, and how to analyze their results to enhance recovery endeavors.
The individual will be in charge of evaluating risk practices, analyzing collections performance, and offering practical findings to enhance recoveries.
This role requires practical experience with SQL, Python (for data evaluation), and statistical modeling notions, in addition to a thorough comprehension of how underwriting decisions and collections processes effect Anticipated Credit Loss and entire project sample risk.

Highly Logical: Robust analytical abilities with the capability to break down sophisticated data into practical findings.
Meticulous: Ensures precision in status updates and predicting to reduce threat level.
Initiative-driven: Constantly looks for ways to enhance ECL predicting, risk segmentation, and collections effectiveness.
Outcomes-Driven: Attentive on optimizing recovery rates and minimizing losses through analytics-based plan implementation.
Flexible: Excels within a dynamic, fast-paced environment where collections and risk plans evolve rapidly.