Data Science Developer 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: Data Science Developer

Location: Lagos
Job Type: Full Time
Reports to: The Director of Decision Science

Job Summary

• Tthe Data Science Developer will play a key role in bridging the gap between data science models and production deployment.
• This individual will assist in operationalizing machine learning models within the production environment and will be responsible for developing and implementing business rules within a commercial decision engine (a low-code software development environment).
• This role requires close collaboration with both the data team and the software engineering team.

Roles and Responsibilities

• Deploying machine learning models developed by the Decision Science team into the production environment.
• Developing, testing, and implementing business rules within a commercial decision engine to automate decision-making processes.
• Collaborating with data engineers to ensure seamless data flow and integration for model deployment and rule execution.
• Working closely with software engineers to integrate deployed models and business rules into existing systems and applications.
• Participating in the monitoring and maintenance of deployed models and business rules, identifying and resolving issues as they arise.
• Contributing to the documentation of deployment processes, business rules, and system configurations.
• Examples of machine learning models and business rules to be deployed or developed:
  • Credit approval scorecard
  • Credit underwriting rules
  • Fraud scorecard

Requirements

• Bachelor's or Master's Degree in a quantitative field (e.g. Computer Science, Mathematics, Statistics, Data Science, Economics)
• 3+ years of working experience as a software engineer (postgraduate experience included)
• Excellent problem-solving and analytical skills
• Strong communication skills to effectively communicate software design and progress to stakeholders
• Ability to work independently and as part of a team in a fast-paced environment
• Experience in the fintech industry
• Familiarity with Google Cloud Platform (GCP).

Application Closing Date
Not Specified.