Riskified Published: August 26, 2019
Job Type
Level of education
Undergraduate
Spoken Language needed
English
Level of Hebrew
Hebrew not required
Location of job
New York
How many relevant years experience do you require for the role:
2 years

Description

* Candidates must be eligible to work and live in the US *

Riskified is the world's leading eCommerce fraud-prevention company. We use cutting-edge technology, machine learning algorithms, and behavioural 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.

What You'll Be Doing
- Simulate performance as part of the pre-sale and on-boarding 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 Operations team
- Use analytical tools in a high level 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

* Candidates must be eligible to work and live in the US *

- Bachelor's degree - preferably in a highly-quantitative field (i.e. mathematics, statistics, computer science, hard sciences), economics or business administration
- 2+ years of relevant business experience
- Hands-on experience with SQL
- Hands-on experience with R / Python (functions creation, data wrangling)
- 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
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