Senior Fraud Data Scientist (Credit Card)

Written by the T&S Network from Gemini's posting.

Fraud data science in Gemini's Risk Engineering Fraud Operations team, focused on fraud on credit card transactions and the crypto platform's user accounts and funds. The work is to build fraud prevention strategy, rules and controls that stop bad actors while keeping the customer experience smooth.

• Fraud and scams

What you'd do

• Build out end-to-end fraud prevention and detection plans, covering playbooks, rules and controls.
• Analyze large structured and unstructured datasets to find emerging fraud trends, patterns and risks.
• Monitor fraud prevention system performance and tune it to improve accuracy and reduce false positives.
• Coordinate with data science, risk ops, product, engineering and support so fraud defenses ship inside products.
• Oversee projects that advance fraud detection systems and optimize operational processes.
• Produce reports for leadership on fraud exposure and how well strategies and controls are working.

What it asks for

• 5+ years in fraud strategy, program management or related risk management roles.
• Prior work watching credit or debit card transactions for fraud.
• Advanced SQL, Python and Looker skills, plus other data analysis and visualization tools.
• Prior work running fraud detection and monitoring tooling in practice.
• Ability to explain complex ideas to technical and non-technical audiences.
• Experience leading projects across multiple teams.
• Knowledge of account takeover, synthetic identity, payment fraud and card-not-present fraud (preferred).

Worth knowing

• Required on-call rotations.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Gemininorth_east before you apply. If we got something wrong, report this listing.