Senior Risk Analyst

• Risk Analyst, you will join a team of talented and dedicated fraud experts who play a pivotal role in fighting fraud and helping our customers succeed.
• Your work will make a big impact in advancing payment risk decisioning to the next level.
• The right candidate is an experienced fraud fighter with a love for learning, problem solving, and not afraid of a challenge.
• They enjoy being part of a close-knit team and working on multiple projects simultaneously without compromising quality.
• Primary Responsibilities Include:Perform proactive risk analysis to identify risk factors and trends of potentially fraudulent activity on large datasets.
• Identify fraud trends, document and communicate findings, and lead in the development and implementation of new fraud prevention strategies.
• Support Risk Operations with process and tool improvements.
• Assist our sales team by leading fraud and tool insights conversations with potential merchants.
• Gather and format data into regular and ad-hoc reports and presentations as well as dashboards for metrics and trend reporting.
• Assist in special projects and ad-hoc assignments, upon request.
• Develop and maintain strong relationships with internal teams and external business partners.
• Required Skills/Traits:Bilingual with business proficiency in English.
• 5+ years experience in e-commerce, payments or risk-related industry with either traditional and non-traditional payment methods.
• Strong understanding of ecommerce payments landscape in LATAM.
• Strong analytical skills and an understanding of how to utilize data to target improvements and solve problems.
• Experience with database language (e.
• G.
• , SQL) as well as BI and reporting tools (Looker, Tableau, Splunk, etc.
• ).
• Strong critical thinking skills with advanced judgment capability.
• Ability to manage multiple assignments while working independently.
• Strong communication skills with internal and external stakeholders.
• Flexibility to work weekends and holidays.
• Experience in large scale data analysis, tools, and processes (e.
• G.
• , Python, R).
• Experience with translating fraud trends into rule logic and/or feature suggestions.
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