Risk Data Scientist (Fintech)

TL;DR

Risk Data Scientist (Fintech): Building and optimizing automated risk controls and decisioning systems for a financial platform with an accent on credit, fraud, and compliance risk analysis. Focus on leveraging large datasets to drive strategic planning and ensuring platform safety while maintaining a seamless user experience.

Location: Must be based in the USA (San Francisco, New York, or Remote).

Salary: $163,000–$225,000.

Company

hirify.global is a business banking platform that automates taxes and expense tracking for the self-employed.

What you will do

• Analyze financial data, transaction patterns, and user behavior to identify credit, fraud, and compliance risks.
• Partner with product, engineering, and data science teams to deploy automated risk controls.
• Provide strategic insights to leadership regarding risk trends and policy improvements.
• Optimize existing risk management processes and workflows for scalability.
• Collaborate across teams to balance platform safety with user experience.

Requirements

• 5+ years of experience in Analytics or Data Science.
• Strong analytical mindset with proficiency in SQL and Python.
• Ability to articulate complex risk issues to both technical and non-technical stakeholders.
• Experience influencing and partnering with cross-functional teams.
• Must be authorized to work in the USA.

Nice to have

• Previous experience in a fintech environment.
• Prior startup experience.
• Specific background in financial services risk roles.

Culture & Benefits

• Comprehensive medical, dental, and vision benefits (100% covered for employees).
• 401K, FSA, and commuter benefits.
• 16 weeks of flexible paid parental leave.
• Generous vacation policy including mental health days.
• Industry-competitive equity for all employees.