Responsibilities
- Proven hands-on experience developing, deploying, and maintaining machine learning models for credit scoring or credit risk, with direct impact on credit decisioning systems.
- Strong understanding of statistical modeling and supervised learning techniques, including logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM), and ensemble methods.
- Ability to select, tune, and optimize models for highly imbalanced credit and risk datasets.
- Extensive experience with feature engineering using financial, transactional, and alternative data sources such as transaction histories, payment behavior, mobile money data, telco data, or other non-traditional indicators.
- Expert proficiency in Python, with strong hands-on experience using scikit-learn, XGBoost, LightGBM, and deep learning frameworks such as TensorFlow or PyTorch when required.
- Strong knowledge of model validation, monitoring, and lifecycle management, including drift detection and ongoing performance evaluation.
- Familiarity with credit risk performance metrics, including Gini coefficient, KS statistic, AUC-ROC, precision-recall, calibration, and Population Stability Index (PSI).
Qualifications
- Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 4+ years of professional experience in machine learning, data science, or credit risk modeling, preferably within fintech, lending, or financial services.
- Experience working with production ML systems that support real-time or near real-time decisioning.
- Strong analytical and problem-solving skills with the ability to translate business risk requirements into effective ML solutions.
- Experience in emerging markets or alternative data-driven credit models is a strong plus.
المهارات المطلوبة
- AI
تفاصيل الوظيفة
- الموقع عمان - الأردن
- القطاع تكنولوجيا المعلومات والاتصالات
- نوع الوظيفة دوام كامل
- الدرجة العلمية بكالوريوس
- الخبرات 4+
- الجنسية غير محدد
وظائف مماثلة
Confidential
الأردنConfidential Company المزيد
المزيد من الوظائف الشاغرة من صاحب العمل
مشاركة هذه الوظيفة
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