Research Scientist II (Fraud)
Core
Build and improve fraud risk models and scoring systems using audio, behavioral, and metadata-based signals to detect and investigate fraud across voice and IVR interactions.
Role type
Senior IC research scientist (fraud detection)
Builds
Production fraud detection models, scam detection stacks, and risk scoring systems for enterprise customers
Domain
Financial services security, fraud prevention, voice authentication
Deliverable
production ML models
Required skills
Machine learning, large-language models, natural language processing, speech or signal processing, anomaly detection, Python, PyTorch, TensorFlow, Keras, fraud risk modeling
Preferred skills
Multi-modal foundation models, sequence modeling, event-based risk modeling, LLM-enabled research workflows, C/C++, Go
Technologies
PyTorch, TensorFlow, Keras, Python
Responsibilities
Build and improve fraud risk models and scoring systems; Analyze fraud patterns and translate findings into model improvements; Research and build scam detection stacks; Partner with engineering to move research into production; Support high-priority fraud investigations; Improve quality of fraud-related identity signals; Design reproducible research workflows and evaluation pipelines
Seniority
Senior, hands-on IC