Data Science Manager (Credit) at Moniepoint Incorporated (Remote) | Remote
Company/Recruiter: Moniepoint Incorporated (Remote)
Published on: 11:00 AM | Aug 11, 2026
✦ AI Summary
Moniepoint Incorporated is seeking an experienced and data-driven Data Science Manager specializing in Credit to join our remote team.
Moniepoint Incorporated is seeking an experienced and data-driven Data Science Manager specializing in Credit to join our remote team. As a rapidly growing global business payments and banking platform, recently backed by QED Investors, we are dedicated to empowering over 600,000 businesses with the financial tools necessary for growth. This role is crucial in leveraging data to enhance our credit offerings and drive informed decision-making across the organization. If you are passionate about the intersection of data science and financial services, and thrive in a dynamic, remote environment, we encourage you to apply.
Job Overview
The Data Science Manager (Credit) will lead a team of talented data scientists, focusing on developing and implementing advanced analytical models and strategies to optimize our credit products. You will play a pivotal role in shaping our credit risk assessment, fraud detection, and portfolio management capabilities, ensuring the sustainable growth and profitability of our lending operations.Key Responsibilities
- Lead and mentor a team of data scientists focused on credit-related projects.
- Develop, deploy, and monitor machine learning models for credit scoring, fraud detection, and customer segmentation.
- Design and execute A/B tests and experiments to evaluate the effectiveness of credit strategies.
- Collaborate with product, engineering, and business teams to identify data-driven opportunities.
- Translate complex analytical findings into actionable insights for stakeholders.
- Ensure data quality, integrity, and ethical use of data in all credit operations.
- Stay abreast of industry trends and emerging technologies in data science and credit risk.
Requirements
- Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics.
- 5+ years of experience in data science, with a significant focus on credit risk or financial services.
- Proven experience leading and managing a team of data scientists.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with SQL and big data technologies (e.g., Spark, Hadoop).
- Excellent communication and stakeholder management skills.
What We Offer
- A fully remote work environment with global opportunities.
- Competitive compensation and benefits package.
- The chance to work with cutting-edge technologies and solve complex problems.
- Opportunities for professional growth and development.
- A collaborative and inclusive company culture.
- The ability to make a significant impact on the growth of SMBs across Africa.