Antifraud Data Engineer, ManyChat

• The ideal candidate will possess experience in fraud detection or risk analytics, coupled with advanced skills in analytics, data processing and machine learning
• Technical Expertise in Data Analysis and Statistics: Deep understanding of mathematical statistics, including statistical modeling, data classification, anomaly detection, and predictive analytics. This includes the ability to interpret data patterns and translate them into actionable anti-fraud strategies
• Advanced Technical Skills: Proficiency in SQL for querying and analyzing large datasets, Python for developing custom fraud detection models. Familiarity with Snowflake, BigQuery or similar tools for fraud-related data storage and querying
• Fraud Detection and Prevention Knowledge: Hands-on experience with fraud detection techniques such as rule-based systems, machine learning models, and behavioral analytics. Familiarity with implementing and fine-tuning fraud scoring systems and thresholds, or similar ML models
• Strategic Thinking and Problem Solving: Ability to think strategically and anticipate potential vulnerabilities or fraud vectors. Experience in proactively identifying risks, proposing solutions, and implementing systems to address them effectively
• Cross-Functional Collaboration Experience: Demonstrated ability to work collaboratively with product managers, engineers, and other stakeholders to implement anti-fraud features and initiatives effectively

Desirable

• We are seeking an experienced Antifraud Data Engineer, who combines data analytical skills with the ability to design and implement scalable, data-driven solutions for fraud detection and prevention
• This role requires a self-starter who can operate at a strategic level while collaborating across teams to build unified and effective antifraud systems
• They also shall be able to communicate complex findings to the cross-functional teams
• You will join Data Engineering team, taking responsibility for analytical data pipelines, collecting, processing and using data about potential fraudulent activities
• Your main stakeholder will be the Head of Security, who oversees fraud risk mitigation
• We expect a candidate will be able to design consistent approach to a fraud preventions in Manychat, making next step from ad-hoc measures to unified solution
• Execute Fraud Prevention Initiatives: Conduct analytics to detect fraudulent activities across Manychat platform (eg. spam, fraud, billing abuse, trial abuse detection)
• Develop Advanced Machine Learning Solutions: Design and improve machine learning services to detect and prevent fraud across the Manychat platform
• Ensure Data Integrity and Availability: Establish and maintain robust pipelines for collecting, processing, and storing data critical to fraud detection
• Empower Teams with Insights: Develop intuitive alerts and BI dashboards to identify anomalies and provide actionable insights to stakeholders