Fraud & Risk Analyst

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

Third-party fraud prevention and mitigation for Lyft's marketplace, run by the Pay, Integrity & Identity Analytics team. The work is to spot emerging fraud patterns early, build rules and models that stop fraud before it reaches the platform, and keep fraud loss low without adding friction for good users.

• Fraud and scams

What you'd do

• Develop and improve fraud detection strategies, real-time rules and models with partner teams.
• Analyze complex data sets to find fraud patterns and sources.
• Help build dashboards and tools that measure payment, operations and new program effectiveness.
• Resolve identity and integrity issues and escalations with Product, Data Science and Engineering.
• Write business cases and projected ROI for fraud program investments.
• Report status, key metrics and recommendations to senior management and executives.
• Design policies that reduce user friction while balancing fraud loss.

What it asks for

• Five-plus years in payments, marketplace, commerce or finance roles (eight-plus for Senior)
• Quantitative undergraduate degree or equivalent hands-on experience
• Fraud, payments or identity experience, especially merchant risk (preferred)
• Expertise in SQL, Python or another programming language for data analysis
• Ability to run projects independently with minimal oversight
• Strong written and verbal communication for executive audiences

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