Machine Learning Specialist – Fraud Detection

What role you will play in team: You will be a key member of our fraud detection team, developing and implementing machine learning models to prevent fraudulent activities.

What you will do: You'll build, test, and deploy models to identify and mitigate fraudulent transactions.

Key responsibility:

• Develop and maintain machine learning models for fraud detection.
• Analyze large datasets to identify patterns and anomalies.
• Evaluate model performance and make necessary adjustments.
• Collaborate with other teams to integrate models into existing systems.

• Stay up-to-date on the latest fraud detection techniques.
• Develop and maintain documentation for your models.

Required Qualification and Skills:

• Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).
• 3+ years of experience in machine learning, with a focus on fraud detection.
• Proficiency in Python and relevant libraries (scikit-learn, TensorFlow, or similar).
• Experience working with large datasets and big data technologies (Spark or Hadoop).
• Strong analytical and problem-solving skills.

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Benefits Included:

• Competitive salary and benefits.
• Opportunity to work on a critical and impactful project.
• A collaborative environment with experienced professionals.
• Professional development opportunities.
• Health insurance and other benefits.

A Day in the Life: A day involves analyzing data, building and testing ML models, collaborating with engineers, and monitoring model performance to combat fraud.