Remote Machine Learning Engineer, Fraud Prevention

Summary

Join our talented team of professionals and help us revolutionize how people think about their money! We're looking for a Senior Machine Learning Engineer to design, develop, and launch machine learning models to identify fraudulent patterns and behaviors in real-time. As a key member of our Financial Crime Prevention team, you'll collaborate with cross-functional teams to integrate ML solutions into fraud detection systems, monitor model performance, and implement updates to improve accuracy and adaptability.

Requirements

• 3+ years proven industry experience in machine learning, data science, and statistical modeling, ideally in fraud prevention or financial services
• Strong proficiency in Python, SQL, and relevant ML libraries such as TensorFlow, Scikit-learn, or PyTorch
• Experience with feature engineering, model tuning, and validation techniques
• Knowledge of anomaly detection, classification algorithms, and fraud detection strategies
• Experience working with cloud environments (e.g., AWS, Azure)
• Problem-solving skills with attention to details and a proactive approach to solving complex problems

Responsibilities

• Design, develop, and launch machine learning models to identify fraudulent patterns and behaviors in real-time
• Collaborate with cross-functional teams to integrate ML solutions into fraud detection systems
• Monitor model performance and implement updates to improve accuracy and adaptability
• Build and maintain scalable, efficient ML pipelines and infrastructure
• Propose new features and ideas in order to improve top line metrics
• Work with large-scale, complex datasets to extract meaningful insights and features for model training
• Collaborate with stakeholders and drive end-to-end projects involving a variety of technologies and systems to successful completion
• Stay up-to-date with the latest research and advancements in fraud detection and machine learning

Preferred Qualifications

• An advanced degree in a quantitative field (e.g. stats, physics, computer science)
• Experience in fintech or fraud prevention domain
• Experience in software development field (Java/Kotlin/Golang/Python)
• Familiarity with real-time data processing and streaming technologies (e.g., Kafka)
• Understanding of regulatory and compliance considerations in fraud prevention

Benefits

• Hybrid model in one of our offices (Berlin, Limassol, Almaty) or fully remote outside office locations
• Support for relocation (visa, package) to Cyprus
• Competitive salary and benefits package (depending on location)
• Real growth opportunities, lots of responsibility, and impact from day one!
• Participation in our Stock Options Program