Senior AI Scientist - Consumer Fraud Risk

Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as Turbo Tax, Credit Karma, Quick Books, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as Turbo Tax, Credit Karma, Quick Books, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview As part of our commitment to preventing fraud across all consumer lending & banking products, we are expanding our Consumer Risk AI Science team, which utilizes cutting-edge AI/ML technology to mitigate credit/fraud risk while minimizing impact on good customers, providing numerous customers the needed financial solution. As a Senior Risk AI Scientist, you will collaborate with Risk Policy, Operations, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies.

If you're passionate about solving real customer problems through data science and modeling, we welcome you to join our talented team.

We encourage you to apply if you…Are passionate about using advanced AI/ML techniques and evolving technology to create a safe environment for customers

Love working as part of a team of experienced AI scientists that love research and innovation just as much as they love getting models to production and making an impact

Are interested in partnering with engineers and Policy analysts to implement your ideas into risk strategy that keep the bad actors away

Take pride in having end to end ownership of your models - from conception, research & development, deployment, and monitoring

Responsibilities Responsibilities Design , build, evaluate, monitor, maintain, and defend machine learning models to predict and prevent various types of credit/fraud risk in consumer money products.

Collaborate with product, policy, engineering and partners across the org to understand business problems and requirements, and design machine learning modeling solutions to help the Consumer Group business grow.

Lead fraud risk modeling for evolving consumer money products, owning the full model lifecycle and program-level outcomes.

Contribute to the technical strategy and decisioning roadmap across cross-functional teams supporting risk for multiple product lines.

Contribute to the development of scalable ML and data infrastructure to improve speed and reliability of fraud modeling efforts.

Help shape and implement a unified data strategy to streamline access, storage, and usability for risk and fraud use cases.

Research and apply innovative machine learning and statistical approaches suitable for dynamic, real-world fraud challenges.

Qualifications Qualifications Minimum  Basic Requirement:

Advanced Degree (MS and above) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline3+ years of experience in Data Science / Machine Learning and related areas

Experience and deep understanding of a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing

Proficiency in deep learning ML frameworks such as Tensor Flow, PyTorch, etc.  Ability to quickly develop a deep statistical understanding of large, complex datasets

Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models

Authoritative knowledge of Python and SQLStrong business problem solving, communication and collaboration skills

Ambitious, results oriented, hardworking, team player, innovator and creative thinker

Preferred Qualifications:

Relevant work experience in money fraud/credit risk, with deep understanding of money movement products, banking, finance, credit bureau, and fraud detection data Experience in graph modeling

Ph.D. in  Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline

Experience with experimentation design and analysis

Working experience with public cloud platforms…