the world closer together. Through our family of apps and services, we're
building a different kind of company that connects billions of people around
the world, gives them ways to share what matters most to them, and helps bring
people closer together. Whether we're creating new products or helping a small
business expand its reach, people at Facebook are builders at heart. Our
global teams are constantly iterating, solving problems, and working together
to empower people around the world to build community and connect in
meaningful ways. Together, we can help people build stronger communities –
we're just getting started.
For many people around the world, basic financial services are still out of
reach: about 1.7 billion adults globally remain unbanked. The cost of that
exclusion is significant — $25 billion is lost by migrants every year through
remittance fees. This is the challenge we’re hoping to address with Novi,
whose goal is to provide people everywhere access to safe and affordable
financial services through the Diem payment system, which is built on
blockchain technology. Our first product will be a digital wallet – Novi – for
the Diem network, and it will be available in Messenger, WhatsApp, and as a
standalone app.
We’re looking for Data Scientists to join our fraud prevention team and play
an active role in protecting our 2B users across the globe. We prevent fraud
by using advanced detection tools that scan billions of data points to
identify signs of activities that violate our policies. Our Fraud Data
Scientists analyze data to generate insights about fraud patterns and develop
detection capabilities and decision policies to prevent them. They also build
the high-level view of the ecosystem to determine where we should focus and
what are the new detection / ML capabilities we should develop.
You will enjoy working with one of the richest data sets in the world,
cutting-edge technology, and the ability to see your insights turned into real
products on a regular basis. You will make a real and meaningful impact on the
world. The perfect candidate will have a background in a quantitative or
technical field, will have experience working with large data sets, and will
have some experience in data-driven decision making related to fraud
prevention. This position is located in our Tel Aviv office.
Responsibilities
* Own your domain end to end. Determine the types of fraud to be managed and utilize Facebook's rich data sets to build real time detection and decisioning capabilities.
* Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand fraud and how to prevent it.
* Define and monitor key metrics. Understand changes in key metrics and identify new levers to help move them.
* Partner with Product and Engineering teams to build experiences that will support fraud prevention efforts
* Communicate the state of business, experiment results and recommendations to a cross-functional team and leadership
Minimum Qualification
* 3+ years of experience doing a quantitative analysis for fraud prevention purposes
* BA/ BSc. in Computer Science, Math, Physics, Engineering, Statistics, Economics, Accounting or another technical field.
* Experience in SQL or other programming languages.
* Understanding of statistics (e.g. hypothesis testing, regressions).
* Ability to communicate the results of analyses.
Preferred Qualification
* Development experience in any scripting language (PHP, Python, Perl, etc.)
