Senior AI Scientist - Consumer Fraud Risk

Intuit, Inc.; Mountain View (CA); On-site; USD 180,000 - 244,000; Full time

Job summary

Intuit, Inc. is seeking a Senior Risk AI Scientist to design and deploy ML models addressing credit and fraud risk across consumer money products. You will lead the model lifecycle and work with Risk Policy, Operations, Product, Engineering and Compliance to balance risk mitigation with access to services.

Requirements include an advanced degree and 3+ years in data science, with deep ML, Python, SQL, and cloud-based data pipelines experience.

Qualifications

• Advanced degree in a quantitative field as listed.
• 3+ years of data science / ML experience.
• Expertise with diverse ML techniques and modeling.
• Python and SQL proficiency; strong data handling.

Responsibilities

• Design, build, evaluate, monitor ML models for fraud risk.
• Collaborate with product, policy, engineering and partners.
• Lead fraud risk modeling and full model lifecycle.
• Contribute to data strategy and scalable ML infra.
• Research innovative ML approaches for real-world fraud.
• Develop reusable data pipelines for risk models.

Skills

Deep learning

Tree-based models

Reinforcement learning

Time series

Causal analysis

Natural language processing

Python

SQL

Communication

Education

MS or PhD in CS/Data Science/AI/Math/Stats/Physics

PhD preferred

Tools

TensorFlow

PyTorch

Vertex AI

AWS / GCP

Apache Airflow

Scikit-learn

Job description

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 TurboTax, Credit Karma, QuickBooks, 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.

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

Minimum Basic Requirement:

• Advanced Degree (MS and above) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline

• 3+ 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 TensorFlow, 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 SQL

• Strong 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 (AWS or GCP), Apache airflow, Vertex AI, unsupervised machine learning, anomaly detection, Scala, data-driven strategy design and optimization are all a plus

• Experience in MLOps infrastructure and tooling

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $180,000 - $243,500