Fraud Data Analyst
Riskified seeks a Fraud Data Analyst to join the Merchant Health Team, leveraging SQL and R/Python to research online fraud trends and provide insights to customers. This role offers a collaborative environment and flexible schedule.
Responsibilities
- Research and explore data using R and SQL in a high-level technical environment
- Master the online fraud prevention domain through hands-on analysis of live data
- Define and execute end-to-end technical solutions for fraud-prevention problems
- Share deep analysis conclusions and technical methods with both technical and non-technical audiences
- Work with account managers, meet directly with clients, and deliver analytical insights to business questions
About the role
About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention.
Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights.
Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact.
These sentiments capture why we choose Riskified every day.
About the Role We are looking for a Fraud Data Analyst to work directly with our customers on our Merchant Health Team. You will be part of a growing analytics team that is responsible for Riskified’s customers’ performance and online fraud prevention using quick problem-solving skills in real time.
You will own a major part in researching and investigating new online-fraud trends and stand at the forefront of Riskified’s work. You’ll leverage your data analysis skills and knowledge of our product to provide meaningful insights directly to our customers.
3 bln in NYSE debut Fortune Magazine: Riskified named Best Workplaces in New York for 2022 The Muse: Q&A with Sales Enablement Manager Benedikt Parstorfer Globes: Riskified is among Israel’s fastest growing companies TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site CTech: Riskified’s VP HR on Post-COVID Flexible Work Routines Riskified is deeply committed to the principle of equal opportunity for all individuals.
We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
About Riskified
Visit riskified.com for more.