Riskified (NYSE:RSKD) empowers businesses to grow eCommerce revenues and profit by mitigating risk. The world’s largest merchants and prestige brands partner with Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale and to improve customer retention. Supported by the largest team of eCommerce risk analysts, data scientists and researchers, Riskified’s machine learning platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights.

We are looking for a Data Analyst to work directly with our ACH merchants. You will be part of a growing operations team which is responsible for Riskified’s customers’ performance, quick problem-solving, and online fraud prevention in real time. You will take a major part in research and investigation of new online-fraud trends, in a super-dynamic environment, and therefore stand at the forefront of Riskified’s work. You’ll be leveraging your analytical and data analysis skills and knowledge of our product to provide meaningful insights to our enterprise merchants, including direct interaction with customers.

What You'll Be Doing

• Analyze ACH transactions and monitor performance with the goal of identifying fraud trends
• Research and explore data, using high level analytical tools (R and SQL) in a technical environment
• Partner with Data Science and Product to research and develop fraud strategies for the ACH industry
• Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences
• Work with account managers, meet directly with clients and deliver analytic insights for business questions
• Define and execute end-to-end technical solutions for fraud-prevention problems
• Cooperate with various teams within Riskified to enhance processes and meet customers’ needs

Candidates must be eligible to work in the U.S. without any visa sponsorship (including OPTs)

• 2+ years working in ACH fraud prevention
• 2+ years of relevant strong analytical experience with complex data
• 1-2+ years of hands-on work experience with SQL
• 1-2+ years of hands-on work experience with R / Python
• Experienced problem solver and critical thinker
• Great written and verbal communication skills
• Ability to work simultaneously on different tasks and lead multiple projects
• Experience with Plaid or Trustly data is a plus