Senior Product Manager - Lending Platform at M-KOPA

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
11 days ago

Additional Details

Job ID
126261
Job Views
29

Job Description






Job Summary




  • We are looking for a Senior Product Manager for our digital lending platform as we scale up and drive digital and financial inclusion across our markets.

  • This role offers the opportunity to drive significant customer and business impact through the implementation and iteration of critical engineering systems, internal tooling, and business processes. 

  • You'll work with talented cross-functional teams including engineers, data scientists, analysts, designers, and commercial stakeholders across multiple countries.

  • We are looking for a technical and/or analytical PM for this role — if you have a fondness for engineering and/or you love digging into data, you might be a good fit!

  • This is a fully remote role with an expectation of travel across our different markets and working within the UTC -1 through UTC+3 time zones.



Responsibilities

In this role, you would be responsible for:




  • Owning the strategic direction and evolution of critical engineering systems and business processes

  • Working with engineers to drive continuous improvement in our systems’ capabilities

  • Partnering with data scientists and analysts to understand user needs and implement novel methodologies

  • Getting feedback from customers and customer care teams to understand customer pain points

  • Analyzing data to understand the largest areas of opportunity for further improvements.



Requirements

Your application should demonstrate:




  • 5+ years of product management experience

  • Strong technical and/or analytical skills, including the ability to conduct your own complex data analysis

  • Proven ability in solving technical and/or analytical problems

  • Ability to work with diverse, distributed teams across multiple countries

  • Strong interpersonal, communication, and collaboration skills

  • Experience in data-driven decision making and strategy development

  • Experience with agile methodologies and cross-functional team leadership

  • Nice to have: Experience with data science models.



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