Senior Credit Risk AI Scientist - Fintech Consumer Risk jobs in United States
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Intuit · 2 weeks ago

Senior Credit Risk AI Scientist - Fintech Consumer Risk

Intuit is expanding its Consumer Risk AI Science team to prevent fraud across all consumer lending and banking products. As a Risk AI Scientist, you will design and implement fraud mitigation risk strategies using AI/ML technology, collaborating with various teams to enhance business growth and improve fraud detection.

AccountingFinancial ServicesFinTechPaaSSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Design, build, evaluate, monitor, maintain, and defend machine learning models to predict and prevent various types of fraud and/or financial 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/financial 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

Qualification

Machine LearningDeep LearningPythonSQLData ScienceData PipelinesStatistical AnalysisCollaboration SkillsProblem SolvingCreative Thinking

Required

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

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
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

Benefits

Cash bonus
Equity rewards
Benefits

Company

Intuit provides financial software solutions to empower individuals and businesses.

H1B Sponsorship

Intuit has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (693)
2024 (550)
2023 (586)
2022 (842)
2021 (773)
2020 (514)

Funding

Current Stage
Public Company
Total Funding
$8.52B
Key Investors
JP Morgan Chase
2025-01-31Post Ipo Debt· $4.5B
2023-09-12Post Ipo Debt· $4B
2011-01-19Post Ipo Equity· $6.7M

Leadership Team

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Sasan Goodarzi
Chief Executive Officer
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Alex Balazs
Chief Technology Officer
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Company data provided by crunchbase