Staff Fraud AI Scientist - Fintech Consumer Risk Fraud at Intuit
Interview Preparation Plan
As a Staff Fraud AI Scientist at Intuit, you will be at the forefront of developing advanced AI and Machine Learning models to combat financial fraud within Intuit's consumer risk domain. This role involves end-to-end ownership of the model lifecycle, from ideation and development to deployment and monitoring, specifically for money movement products, banking, and lending services. You will collaborate closely with cross-functional teams including product, engineering, and policy to ensure the effective and impactful use of data science in protecting customers and Intuit from fraudulent activities. Your work will directly contribute to securing customer finances and enabling the growth of Intuit's financial offerings.
Key Responsibilities
- Develop and deploy cutting-edge AI/ML fraud detection and credit risk models for money movement products.
- Own the complete model lifecycle, including data strategy, research, implementation, evaluation, and monitoring.
- Collaborate with product, engineering, and risk teams to align model development with business goals.
- Research and implement novel machine learning and statistical approaches to address complex fraud challenges.
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