Riskified Published: September 26, 2019
Job Type
Level of education
Spoken Language needed
Hebrew, English
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years


Riskified is the AI platform powering the eCommerce revolution. We use cutting-edge technology, machine-learning algorithms, and behavioral analytics to identify legitimate customers and keep them moving toward checkout. Merchants use Riskified to increase revenue, prevent fraud, and eliminate customer friction. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including a number of Fortune 500 companies.

About the Role
- As an Operations & Research Team Lead, you will be part of a fast-growing operational team responsible for Riskified’s customers’ performance, online fraud-prevention in real time, and quick problem solving. You will be at the forefront of Riskified’s work by researching and investigating new online fraud trends. You’ll lead a group of experienced Research Analysts to solve complex issues in a dynamic environment, while advancing your data mining and analysis skills, as well as mentoring junior researchers.

What You'll Be Doing
- Lead a team responsible for research and exploration of data, using high-level analytical tools in a highly technical environment
- Share deep analysis conclusions and sophisticated technical methods in a clear manner with both technical and business audiences
- Work with Account Managers, meet with clients, and deliver analytic insights for business questions
- Define and execute end-to-end technical solutions for fraud-prevention problems
- Provide technical mentoring for team members
- Collaborate with various teams within Riskified to enhance processes and meet customers’ needs
- Master the online fraud-prevention domain through hands-on analysis of live data


- Experience in leading, managing, and mentoring a team
- Bachelor's degree - preferably in a highly-quantitative field (i.e. mathematics, statistics, computer science, hard sciences), economics, or business administration
- Hands-on experience with SQL - Must
- Hands-on experience with R / Python - functions creation, data wrangling - Must
- Experience in a client facing role - advantage
- Great communication skills
- Quick thinker
- Strong analytical skills
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