
Data Science Professional for Online Fraud Prevention
Há 2 dias
We are seeking a skilled professional to fill a Fraud Data Analyst role, working closely with our clients on our Merchant Health Team.
You will be part of a growing analytics team responsible for Riskified's customers' performance and online fraud prevention using quick problem-solving skills in real-time.
You will play a major part in researching and investigating new online-fraud trends, standing at the forefront of Riskified's work.
Key Responsibilities- Conduct thorough research and explore data using high-level analytical tools (R and SQL) in a highly technical environment.
- Mastery the online fraud prevention domain through hands-on analysis of live data.
- Define and execute end-to-end technical solutions for fraud-prevention problems.
- Present deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences.
- Collaborate with account managers, meet directly with clients, and deliver analytical insights to business questions.
- Work with various teams within the organization to enhance processes and meet customer needs.
- Fluent written and verbal communication in English and Portuguese required.
- 1-2+ years of experience in fraud analytics.
- 1-2+ years of relevant strong analytical experience with complex data.
- Proficiency in SQL.
- Proficiency in R or Python.
- Experienced problem solver and critical thinker.
- Ability to work simultaneously on different tasks and lead multiple projects.
This is an opportunity for a skilled individual to join a growing analytics team and make a significant impact in the field of online fraud prevention.
If you have a passion for data analysis, a keen eye for detail, and excellent problem-solving skills, this could be the perfect fit for you.
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