Avenews provides fast and reliable financing solutions for Kenyan agribusinesses poised for growth, serving as a trusted partner to fuel expansion. We're looking for a passionate Machine Learning Engineer or Data Scientist who is excited about building predictive models that have real-world impact in fintech. You'll work on developing and improving credit risk models, particularly probability of default (PD) models, while aggregating and analyzing data from multiple sources. This is a role for someone who loves working with data, is curious about machine learning, and wants to continuously learn and grow.
Responsibilities
Building and improving probability of default (PD) models for credit assessment.
Aggregating and processing data from multiple sources (MongoDB, SQL databases, APIs, external data providers).
Designing and implementing end-to-end ML pipelines including data collection, preprocessing, feature engineering, model training, and deployment.
Developing data pipelines to collect, clean, and transform data for modeling.
Working with financial data and credit scoring systems.
Creating features and performing feature engineering for ML models.
Evaluating model performance and iterating improvements.
Collaborating with the development team to integrate models into production.
Conducting research and experimentation with advanced ML techniques such as ensemble methods, deep learning, and time-series forecasting for credit risk prediction.
Requirements
3-5 years of experience in machine learning, data science, or a related quantitative field.
Strong Python experience (essential).
Experience with machine learning frameworks - Required: scikit-learn, XGBoost, LightGBM; Nice to have: TensorFlow, PyTorch, Keras.
Experience with credit risk modeling is a strong plus but not mandatory.
Experience working with multiple data sources and data integration.
Familiarity with APIs - both consuming and building them.
Knowledge of statistical analysis and model evaluation techniques.
Experience with data manipulation libraries (pandas, numpy).
Understanding of databases - Must-have: MongoDB, PostgreSQL; Nice to have: MySQL, Redis.
Knowledge of data versioning, model versioning, and MLOps pipelines is a plus.
Educational qualification of BA/BSc/HND.
How to Apply
Interested and qualified candidates should apply online by visiting the Avenews application portal at Avenews on www.avenews-gt.com.
How to Apply
Interested and qualified candidates should apply online by visiting the application portal: Avenews on www.avenews-gt.com.
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