Senior Fraud Data Scientist: Credit Card Risk & Rules

Gemini; New York (NY); Ibrido; USD 116.000 - 155.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive pay

Discretionary annual bonus

Equity grant

Health plans

401K

Parental leave

Flexible time off

Descrizione del lavoro

Gemini in New York is seeking a Senior Fraud Data Scientist (Credit Card) to lead strategies that prevent card‑not‑present fraud, design robust rules, and reduce risk while maintaining a smooth user experience. You will collaborate with product, engineering, risk operations and compliance, analyze large datasets, and measure the impact of defenses.

The role requires on‑call rotations and expertise in SQL and Python.

Competenze

• 5+ years in fraud strategy, program management, or related risk roles.
• Advanced analytical skills with SQL, Python, Looker, and data visualization tools.
• Hands-on experience with fraud detection and monitoring platforms.
• Strong verbal and written communication across technical and non-technical audiences.
• Ability to collaborate with product, engineering, operations, and compliance teams.
• Experience leading cross-functional fraud projects.
• Experience with credit/debit card fraud monitoring.

Mansioni

• Design end-to-end fraud prevention and detection strategies and controls.
• Analyze large structured and unstructured data to spot fraud trends.
• Monitor system performance and reduce false positives with data-driven tweaks.
• Partner with data science, risk ops, product, engineering and support teams.
• Lead projects to advance fraud detection systems and improve processes.
• Create clear reports on fraud exposure and control effectiveness for leadership.

Conoscenze

SQL

Python

Looker

Strumenti

Looker

Fraud detection platforms

Descrizione del lavoro

Gemini in New York is seeking a Senior Fraud Data Scientist (Credit Card) to lead strategies that prevent card‑not‑present fraud, design robust rules, and reduce risk while maintaining a smooth user experience. You will collaborate with product, engineering, risk operations and compliance, analyze large datasets, and measure the impact of defenses.

The role requires on‑call rotations and expertise in SQL and Python.