Data Scientist - Credit Risk

This organization is at the forefront of leveraging AI and machine learning to power real-time credit scoring and risk assessment. They are committed to developing sophisticated models that enhance predictive capabilities and ensure robust financial risk management.

Their work involves analyzing diverse data sources, including repayment patterns, purchase behavior, and mobile money data, to improve scoring accuracy. They also focus on building advanced fraud detection algorithms and early warning systems to safeguard their operations.

The company operates with a remote-first approach, offering flexible hours and a competitive compensation package that includes equity, reflecting their commitment to attracting top talent.

We are seeking a talented Data Scientist to join our team and develop cutting-edge AI/ML models for credit scoring and risk assessment. This role is crucial for enhancing our real-time financial decision-making capabilities.

Your primary responsibilities will include building and optimizing machine learning models using alternative data sources, analyzing repayment patterns, and developing robust fraud detection algorithms. You will collaborate closely with our engineering team to deploy these models into production environments and continuously monitor their performance.

We are looking for candidates with an advanced degree and significant experience in credit risk modeling, particularly within African fintech markets. Proficiency in Python, R, SQL, and ML frameworks is essential. This is a remote position offering a competitive salary plus equity and flexible working hours.

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