01Overview
What role you will play in team: Develop and implement machine learning models to detect and prevent fraudulent transactions, safeguarding customer funds and maintaining the integrity of our payment systems.What you will do: Analyze transactional data, build predictive models, and collaborate with engineers to integrate models into production systems.Key responsibility:Develop and deploy machine learning models for fraud detection.Analyze large datasets of transactional data to identify patterns and anomalies.Evaluate model performance and make improvements.Collaborate with engineering teams to integrate models into production systems.Monitor model performance and make adjustments as needed.Stay up-to-date on the latest advancements in fraud detection.Required Qualification and Skills:Master's degree in Computer Science, Statistics, or a related field.5 years of experience in fraud detection or a related field.Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow).Experience with large-scale data processing techniques.Strong analytical and problem-solving skills.Knowledge of financial transactions and fraud detection techniques.Benefits Included:Competitive salary and benefits package.Opportunities for career advancement.A challenging and rewarding work environment.Making a significant impact on a global company.A Day in the Life: A typical day involves analyzing data, building and testing fraud detection models, collaborating with engineers, and monitoring model performance. .
