Overview

Renmoney – We are a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experiences.

Job Position: ML Ops / Risk Decision Scientist

Job Location: Ikoyi, Lagos

Job Description

  • We are currently hiring for a mixed role that is 70/30% ML Ops/Risk Data Scientist. Join us, and you will contribute to building our decision and risk engine.

Job Requirements

  1. Oversee and deploy ML pipelines, from development to production.
  2. Administer CI/CD pipelines, ensuring tests succeed and artifacts are properly stored.
  3. Monitor model performance metrics and set up alert systems for anomalies.
  4. Develop credit, fraud scoring and other predictive models.
  5. Engage with stakeholders to understand requirements and manage expectations.
  6. Document processes, and share knowledge and expertise.
  7. Manage project planning, execution, and progress tracking.

Job Requirements

  1. Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field.
  2. Proficiency in Python, SQL, and database management.
  3. Experience with Docker and deploying applications on cloud platforms such as AWS.
  4. Strong experience with CI/CD pipelines, automated testing, and deployment.
  5. Ability to use effectively monitoring tools and establish responsive alert systems.
  6. Robust documentation skills to clearly record processes and optimizations.
  7. Familiarity with SageMaker and other AWS services would be a significant advantage.

Benefits

  1. Competitive compensation.
  2. An agile culture with a flat hierarchy, offering the opportunity to tackle complex, real-world challenges.
  3. A team comprised of top-tier professionals with experience in leading consultancies and banks.
  4. The chance to play a pivotal role in building a data-driven culture.

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

Tagged as: Information Technology