Fraud Detection Data Scientist

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.

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• 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.