Golden Apple seeks an Anti‑Fraud Analyst to enhance fraud detection using ML models. Candidates should have strong Python and ML skills, particularly in model development and traffic analysis.
In this role, you will focus on developing and implementing machine learning models specifically designed for fraud detection within transactional and session traffic. Your responsibilities will include feature engineering, traffic analysis, and model validation, ensuring robust performance against fraud patterns.
You will work with a variety of ML frameworks, including scikit‑learn, XGBoost, and TensorFlow, to design scoring systems and integrate them with rule‐based engines. Success in this position will depend on your ability to analyze large volumes of unstructured data and effectively monitor model performance.
