Machine Learning Engineer - Fraud Detection

What role you will play in team: You will be an integral part of the team developing and maintaining machine learning models for detecting fraudulent transactions.

What you will do: Design, implement, and monitor machine learning models to identify and prevent fraudulent activities.

Key responsibility:

• Develop and deploy machine learning models to detect fraudulent transactions.
• Analyze large datasets of transactional data.
• Develop features and select appropriate algorithms.
• Evaluate model performance and make improvements.
• Collaborate with security and compliance teams.
• Stay up-to-date on the latest techniques in fraud detection.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
• Strong programming skills in Python.
• Experience with machine learning algorithms (classification, anomaly detection).
• Knowledge of data mining techniques.
• Understanding of fraud detection methodologies.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for career advancement.
• Work in a fast-paced, dynamic environment.
• Make a significant impact on preventing financial fraud.

A Day in the Life: A typical day would involve data analysis, model training and testing, and collaboration with team members.