Description

You will develop and deploy machine learning models to identify and prevent fraudulent behavior.

Responsibilities

• Develop and deploy machine learning models to detect and prevent fraud.
• Analyze complex, multi-source datasets to extract patterns and actionable insights.
• Partner with operations, compliance, and engineering teams to build real-time fraud solutions.
• Investigate emerging fraud trends and provide data-backed recommendations.

Required Skills

• 15+ years of experience in data science, including 10+ years in fraud or risk analytics.
• Proficiency in Python, SQL, and SAS.
• Experience with supervised and unsupervised machine learning techniques.
• Hands-on experience with cloud platforms including AWS, Azure, or GCP.
• Expertise in anomaly detection, behavioral modeling, graph analytics, and network analysis.
• Ability to manage and analyze large datasets.
• Knowledge of regulatory compliance and ethical AI implementation.
• Strong communication skills for explaining technical insights to business stakeholders.
• Bachelor’s or Master’s degree in Data Science, CS, Math, Statistics, or a related field.

Preferred Skills

• Experience in graph-based fraud detection.
• Understanding of fraud KPIs and real-time detection systems.

Key Skills

Education

Any Graduate