Fraud Risk Strategy Data Scientist (Remote)

Invoice2go; San Jose, Northern (CA, KY); Hybrid; USD 113,000 - 135,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

Paid holidays

Paid time off

Employee stock purchase program

Job summary

BILL is seeking a talented professional for its Fraud Risk Strategy team in San Jose, CA. The role focuses on leading projects around fraud detection, risk analysis, and loss mitigation while developing predictive algorithms and robust risk frameworks.

The candidate will design data-driven monitoring rules, collaborate with product/engineering, and mentor teammates. Remote-eligible, hybrid options may be available depending on location and team needs.

Qualifications

• 3+ years in end-to-end fraud risk control strategy within ecommerce/payments.
• Experience designing and implementing risk rules with product/engineering teams.
• Built and refined risk strategy frameworks with data-driven monitoring and KPIs.

Responsibilities

• Lead fraud detection, risk analysis, and loss mitigation projects.
• Develop predictive algorithms and risk strategies.
• Create flexible dashboards and monitoring to track KPIs.
• Collaborate with cross-functional teams and mentor junior team members.

Skills

Fraud risk strategy

Data analytics

SQL

Python

Tableau

Risk dashboards

Leadership

Tools

SQL

Python

Tableau

Job description

BILL is seeking a talented professional for its Fraud Risk Strategy team in San Jose, CA. The role focuses on leading projects around fraud detection, risk analysis, and loss mitigation while developing predictive algorithms and robust risk frameworks.

The candidate will design data-driven monitoring rules, collaborate with product/engineering, and mentor teammates. Remote-eligible, hybrid options may be available depending on location and team needs.