Argomenti trattati
Intuit, a leader in the financial technology sector, is dedicated to enhancing prosperity for individuals and communities worldwide. With a user base of approximately 100 million customers utilizing products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, the company underscores the importance of innovation in its offerings. The Consumer Group at Intuit, which includes key products such as TurboTax and Credit Karma, aims to empower users to take charge of their financial futures.
As Intuit expands its banking and lending services, the company is seeking a talented and experienced Staff AI Scientist to join their Consumer Risk AI Science team. This role focuses on developing sophisticated AI and machine learning models to address the fraud risk associated with money movement products, playing a crucial role in safeguarding customer transactions.
Key responsibilities of the role
In this position, you will engage in various aspects of the fraud risk AI initiatives. Your work will cover the complete lifecycle of model development, ensuring accountability for both successes and key results on a program level. You will significantly influence the modeling strategy in collaboration with cross-functional teams.
Model development and collaboration
Your primary tasks will involve designing, building, deploying, and evaluating machine learning models aimed at predicting and detecting potential fraud risks for key banking products, such as CK Money and various short-term lending options. Collaborating with teams from credit policy, product development, and fraud risk management will be essential to ensure that the models align with business objectives and enhance lending decisions.
Furthermore, you will construct efficient and reusable data pipelines for tasks such as feature generation, model scoring, and reporting. Familiarity with programming languages like Python and SQL will be crucial, as will experience with both commercial and proprietary Machine Learning infrastructures. Ensuring the fairness, interpretability, and compliance of the models you develop will also be a critical aspect of your role.
Qualifications and experience required
To be considered for this position, candidates should possess an advanced degree, such as a Ph.D. or Master’s, in a relevant quantitative field like Computer Science, Data Science, or Statistics. A minimum of six years of experience in AI science or machine learning, particularly in the context of fintech fraud risk, is essential.
Technical proficiency and skills
Successful candidates will demonstrate authoritative knowledge of Python and SQL, alongside significant experience in developing, deploying, and maintaining various machine learning techniques, including deep learning and reinforcement learning. A profound understanding of fraud risk modeling concepts, such as fraud score calibration and label bias correction, will also be necessary to excel in this role.
In addition to strong analytical skills, prospective AI Scientists should exhibit exceptional problem-solving abilities, coupled with excellent communication and collaboration skills. The ability to integrate emerging AI/ML technologies into existing frameworks will be highly valued, showcasing your capacity to push the boundaries of what is possible.
Join Intuit’s innovative team
Working at Intuit offers a unique opportunity to contribute to meaningful projects that directly impact the financial well-being of countless customers. The company fosters a culture of innovation and teamwork, enabling employees to grow professionally while addressing significant challenges in the fintech landscape.
Intuit is committed to creating a diverse and inclusive workplace that promotes creativity and collaboration. The comprehensive compensation package includes competitive salaries, performance-based bonuses, and various benefits designed to support employees’ well-being.
As Intuit expands its banking and lending services, the company is seeking a talented and experienced Staff AI Scientist to join their Consumer Risk AI Science team. This role focuses on developing sophisticated AI and machine learning models to address the fraud risk associated with money movement products, playing a crucial role in safeguarding customer transactions.0