Staff AI Scientist (Fintech)

TL;DR

Staff AI Scientist (Fintech): Develops cutting-edge credit risk AI/ML fraud models for existing and new money movement products, with an accent on model lifecycle, fraud score calibration, and label bias correction. Focus on ensuring model fairness, interpretability, and compliance within the Intuit ecosystem.

Location: Open to relocating to the United States.

Salary: $201,500 - 273,000

Company

hirify.global is focused on championing financial progress for its more than 140 million members globally.

What you will do

• Design, build, deploy, and monitor machine learning models to predict and detect fraud risk for primary banking and short-term lending products.
• Collaborate with credit policy, product, and fraud risk teams to ensure models align with business goals and product offerings.
• Build efficient and reusable data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and AI infrastructures.
• Contribute to the evolution of data and machine learning infrastructure within the Intuit ecosystem.

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.
• Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, and lending.
• Relevant work experience in credit risk and/or financial fraud risk, with deep understanding of payment systems, money movement products, banking, and lending.
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models.
• Strong business problem solving, communication and collaboration skills.

Nice to have

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow.
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control.

Culture & Benefits

• Solve meaningful problems giving customers access to their money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally with executives, engineering, policy & rules, product, analytics, operations, and other AI science teams.