Senior Data Modeler (Fraud Risk Detection)

Location: United States; remote role

Salary: $82,644–$143,249 per year, plus variable pay opportunity.

Company

hirify.global is a global data and technology company providing data, analytics, and technology solutions across financial services, healthcare, automotive, insurance, and other markets.

What you will do

• Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals.
• Translate fraud-related questions into testable hypotheses and support research for client needs.
• Build, train, validate, and evaluate machine learning models for account opening, account takeover, and identity risk.
• Develop features from identity, transactional, behavioral, and other data sources.
• Write clean, tested code and collaborate with engineering to deploy models and features to production.
• Support model and feature monitoring and communicate analytical findings to technical and nontechnical audiences.

Requirements

• At least 1 year of experience in data science, machine learning, statistical modeling, or a related quantitative field.
• Bachelor’s or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline.
• Foundation in supervised learning, model evaluation, feature selection, statistical inference, classification, and anomaly detection.
• Proficiency in Python and familiarity with pandas, NumPy, and scikit-learn.
• Ability to investigate unusual data patterns and turn findings into testable hypotheses.
• Experience or exposure to financial services, fintech, payments, regulated industries, or fraud-intensive environments.

Nice to have

• Familiarity with PySpark, AWS, Google Cloud, Azure, Databricks, Snowflake, or other large-scale data tools.

Culture & Benefits

• Remote, hybrid, and in-office work options are available within the applicable U.S. work-location framework.
• Medical, dental, and vision coverage.
• 401(k) matching.
• Vacation, sick leave, volunteer time off, and 12 paid holidays.
• Compensation package with a bonus plan and variable pay opportunity.
• Inclusive, purpose-driven culture with a focus on data privacy, explainability, validation, and governance.