Senior Data Scientist – Fintech (Credit and Fraud)
Core
Build financial backbone products including credit risk models, fraud detection systems, and real-time transaction decisioning for millions of customers and merchants.
Role type
Senior IC data scientist (fintech credit & fraud)
Builds
Production ML models for underwriting, portfolio risk management, fraud prevention, and real-time decision engines.
Domain
Fintech, Credit Risk, Fraud Detection
Deliverable
production ML models
Required skills
End-to-end model ownership, SQL, Python, orchestration (Airflow), deployment (Metaflow, Vertex AI), production monitoring, CI/CD, statistical modeling, machine learning, feature engineering, experimentation design, AI tooling (coding agents/LLMs)
Preferred skills
Fraud/credit risk domain knowledge, real-time/streaming systems, deep learning, LLM/agent-based solutions
Technologies
BigQuery, Airflow, Metaflow, Vertex AI, Python, SQL
Responsibilities
Own problems from framing to deployment and monitoring; build and ship fraud/anomaly detection and limit management models; explain model decisions to Risk, Compliance, and leadership; collaborate with Engineering on reliability; build data marts and pipelines; drive experimentation for model rollout; use AI tools to accelerate work.
Seniority
Senior, hands-on IC
