Decision Engine Engineer at Kuda Bank

Kuda is a full service, app-based digital bank. Our mission is to be the go-to bank not just for those living on the African continent, but also for the African diaspora wherever they might live, anywhere in the world. Kuda is free of ridiculous banking charges and great at helping customers budget, spend smartly and save more. We raised the largest seed round ever seen in Africa, and completed a Series A funding round in February 2021, led by some of the world's smartest venture capital investors. With offices in London (our HQ), Lagos and Cape Town, and further offices opening across Africa during 2021, Kuda is fast becoming recognised as the leading 'Neobank' for Africans.

To help us grow into the company that can bring meaningful change to the way people across Africa get access to great financial products and services in order to take control of their personal finances, we are actively looking for bright, talented, driven people who are excited by our mission. If this sounds like a great way to spend your valuable time, then please get in touch with us.

We are recruiting to fill the position below:

Job Title: Decision Engine Engineer

Location: Lagos, Nigeria
Job type: Full time (Hybrid)
Category: Data & Decisioning

Role Overview

• Your main responsibility is to implement, test and maintain the Credit Risk Decision System including supporting the implementation of credit policy rules and scorecards in the environment of a commercial Decision Engine.

Requirements

• An analyst who is good with scripting language and enjoys producing analytic outcomes.
• The ability to implement, test and maintain the Credit Risk Decision System including supporting the implementation of credit policy rules and scorecards in the environment of a commercial Decision Engine.
• Automate a well-defined workflow based on data-driven rules
• Manage the change of the rules with minimum software development time, and in many cases by GUI-based operations.
• Proficient in a scripting language (open source language preferred, e.g. Python, R).
• Proficient in database languages, such as SQL.
• Proven knowledge of standard statistical packages (open source language preferred)
• Knowledge of Restful API.
• Knowledge of sourcing data from data warehouse/databases, as well as external partners.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online