Senior Credit Card Fraud Data Scientist (Hybrid)

Gemini; Miami (FL); Hybride; USD 120 000 - 170 000; Plein temps

Avantages offerts par ce poste

Competitive pay

Annual discretionary bonus

Equity grant

Health plans

401K with company matching

Parental leave

Flexible time off

Résumé du poste

Gemini is seeking a Senior Fraud Data Scientist (Credit Card) to protect customers and the platform from evolving fraud risks. You will design controls, evaluate exposure, and drive cross-functional projects that enhance detection capabilities while preserving a seamless user experience.

You will apply deep expertise in fraud trends, risk management, and data science to partner with product, engineering, operations, and compliance teams, with on-call rotations as part of the role.

Qualifications

• 5+ years in fraud strategy or risk management.
• Proficiency in SQL, Python, Looker, and data visualization tools.
• Hands-on experience with fraud detection and monitoring platforms.
• Strong verbal and written communication for cross-functional teams.
• Data-driven approach to risk controls and decision making.
• Experience with card-present and card-not-present fraud monitoring.

Responsabilités

• Design and lead end-to-end fraud prevention and detection strategies.
• Analyze large datasets to identify emerging fraud trends and risks.
• Monitor system performance, measure risk metrics, and reduce false positives.
• Collaborate with product, engineering, risk operations, and support teams.
• Oversee initiatives to advance fraud detection systems and processes.
• Deliver clear reports to leadership on fraud risk and controls effectiveness.

Connaissances

Fraud strategy

Risk management

SQL

Python

Looker

Data analysis

Cross-functional communication

Decision making under pressure

Card-not-present fraud

Outils

Looker

Description du poste

Gemini is seeking a Senior Fraud Data Scientist (Credit Card) to protect customers and the platform from evolving fraud risks. You will design controls, evaluate exposure, and drive cross-functional projects that enhance detection capabilities while preserving a seamless user experience.

You will apply deep expertise in fraud trends, risk management, and data science to partner with product, engineering, operations, and compliance teams, with on-call rotations as part of the role.