Senior Applied AI Research Scientist
Core
Design and deploy foundation models for real-time fraud detection using behavioral data, device intelligence, and consortium signals.
Role type
Senior Applied AI Research Scientist (Fraud & Risk)
Builds
Next-generation fraud foundation models and production inference pipelines
Domain
Financial crime, fraud prevention, AML, fintech
Deliverable
production ML models
Required skills
Deep learning, foundation models, self-supervised pre-training, fine-tuning, model serving, Python, SQL, large-scale data preparation
Preferred skills
Fraud/AML domain knowledge, LLM-based agents, representation learning, model risk management
Technologies
Python, SQL, GPU infrastructure, embedding stores, real-time inference systems
Responsibilities
Scope and execute foundation model R&D roadmap, evaluate model performance with rigorous benchmarks and monitoring, manage full model lifecycle from pretraining to deployment, partner with engineering on infrastructure, collaborate with clients on model decisions, work with compliance on explainability and governance
Seniority
Senior, hands-on IC
