Executive manager - Credit at M-KOPA Nigeria in Lagos

Job Description

The position is akin to an logical manager, project, bridging credit expertise, qualitative observations, economic and conductual analysis and technical business intelligence to solution guide questions about M-KOPA’s credit project sample.
This position requires an capability to clearly distinguish a issue, scope an approach to comprehension the issue, oversee logical process to response the questions at hand, and transparently convey implementable strategic guidance.
Head evaluation, management and communications regarding credit effectiveness of the organization’s project sample, clients, and goods and solutions.
This comprises coordinating multi-acquire data evaluation, designing strategic trials, running test hypotheses, and organizing demonstrations and documentation used internally and by external participants.
The goal of the position is to offer practical findings to comprehend and shape buyer credit conduct.

6-10 years of work expertise in an logical site which includes buyer credit, asset finance, pricing, data science, behavioural analysis, or plan advising, which includes expertise coordinating teams, portfolios, and projects
Credit, data, and financial evaluation competencies to productively assess and documentation on key key indicators
Expertise in lending business procedures and buyer credit in emerging markets firmly preferred.
Robust interpersonal and public speaking to productively liaise with teammates and top level participants
Comprehension of business notions which includes ROI evaluation, discounted money movement, causality, & statistical significance
Bachelors or MSC ideally in a quantitative site, which includes economics, econometrics, business intelligence, computer science, statistics, engineering, credit management, finance or user behavior analysis
Competence in arranging logical projects and understanding with resources which includes SQL, R!, Python, PowerBI, Excel, PowerPoint, Word, in addition to a clear comprehension of statistics and quantitative methods and industry standards.