Staff AI Scientist - Consumer Risk Fraud (Intuit) at Credit Karma

San Diego, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

FinTech, Financial ServicesIndustries

Requirements

Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
6+ years of work experience in AI Science / Machine Learning and related areas
Authoritative knowledge of Python and SQL
Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data

Responsibilities

Contribute to the fraud risk AI science initiatives for new and evolving Money product offerings, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data strategy across all involved teams
Design, build, deploy, evaluate, defend, and monitor machine learning models to predict and detect fraud risk for primary banking product (CK Money) and various short-term lending products (e.g., tax refund advances, FNPL, installment loans, single payment loans, and early wage access)
Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offerings to drive actionable lending decisions
Build efficient and reusable data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures
Deploy models in a production environment in collaboration with other AI scientists and machine learning engineers
Ensure model fairness, interpretability, and compliance
Contribute to the evolution of data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions
Research and implement practical and creative machine learning and statistical approaches suitable for a fast-paced, growing environment

Skills

Key technologies and capabilities for this role

AIMachine LearningFraud DetectionCredit Risk ModelingML ModelsModel DeploymentModel EvaluationModel MonitoringData Strategy

Questions & Answers

Common questions about this position

What are the key responsibilities of the Staff AI Scientist role?

You'll develop and own the lifecycle of fraud risk AI/ML models for banking and lending products, design and deploy ML models to detect fraud, collaborate with teams to align models with business goals, build data pipelines using Python and SQL, ensure model fairness and compliance, and contribute to ML infrastructure.

What technical skills are required for this position?

Proficiency in Python and SQL for building data pipelines, experience with machine learning models including design, deployment, evaluation, and monitoring, and knowledge of AI/ML infrastructures are essential.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What is the compensation or salary for this role?

This information is not specified in the job description.

What kind of team will I be joining?

You'll join a collaborative and inventive team of AI scientists and machine learning engineers on the Consumer Risk Data Science team, working with credit policy, product, and fraud risk teams.

Credit Karma

Provides free credit scores and financial tools

About Credit Karma

Credit Karma provides financial tools and resources to help individuals improve their financial health. The platform offers free access to credit scores, credit monitoring, and personalized recommendations for credit cards and loans, including options for cars, homes, and personal financing. Users can track their credit progress and receive alerts about changes to their credit reports. Unlike many competitors, Credit Karma operates on a freemium model, allowing users to access a wide range of services at no cost while earning revenue through partnerships with financial institutions. The company's goal is to empower its members to achieve their financial goals by providing helpful resources and fostering a sense of ownership and progress in their financial journeys.

Oakland, CaliforniaHeadquarters

2007Year Founded

$358MTotal Funding

ACQUISITIONCompany Stage

Fintech, Cybersecurity, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

401(k) Retirement Plan

Commuter Benefits

Wellness Program

Paid Vacation

Paid Sick Leave

Education Perks

Risks

Increased competition from Walmart-backed FinTech One could challenge Credit Karma's market share.

Integration challenges from Zendrive acquisition may distract from Credit Karma's core objectives.

Intuit's AI advancements could overshadow Credit Karma's financial tools and services.

Differentiation

Credit Karma pioneered free credit scores, setting it apart in personal finance.

The company offers a comprehensive suite of free financial tools and recommendations.

Credit Karma's freemium model generates revenue through partnerships with financial institutions.

Upsides

Credit Karma's acquisition of Zendrive enhances its mobility risk intelligence offerings.

AI-driven financial assistants could inspire Credit Karma to develop personalized financial tools.

Growing digital solutions adoption by SMBs presents expansion opportunities for Credit Karma.

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