Riskified Published: March 4, 2019
Job Type
Level of education
Undergraduate
Spoken Language needed
English
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
2 years

Description

Riskified is the world's leading eCommerce fraud-prevention company. We use cutting-edge technology, machine learning algorithms, and behavioral analytics to outsmart eCommerce fraud and help our merchants grow. 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
We are looking for a talented analyst with a business orientation to join our growing Operations Team.

As a ‘Go-Live’ Operations Analyst you will become a fraud expert, working closely with many internal interfaces (Sales, Integrations, Product, Analytics etc.), responsible for creating accurate performance projections for Riskified’s merchants.

You’ll leverage your analytical skills and knowledge of our product to provide meaningful insights to our merchants as a significant part of our pre-sale (leading pilots for enterprise merchants) and onboarding process.

What You'll Be Doing
- Simulate performance as part of the pre-sale and onboarding of new merchants
- Resolve merchants’ onboarding queries on a day-to-day basis
- Lead pilots for enterprise merchants, working closely with our Sales Team and COO
- Use high-level analytical tools in a technical environment
- Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences
- Deliver analytic insights for our Growth Teams
- Master the online fraud prevention domain through hands-on analysis of live data
- Become an expert in Riskified’s machine learning models and features
- Identify, research, and offer system-wide solutions for common issues

Requirements

- 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
- Hands-on experience with R / Python - functions creation, data wrangling - Must
- Strong analytical skills with complex data
- Experienced problem solver and critical thinker
- Great communication skills
- Ability to work simultaneously on different tasks and lead multiple projects
- Fluent in English
- 2+ years of relevant business experience
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