Lead Data Scientist

Abu Dhabi, Abu Dhabi, United Arab Emirates

Full Time Mid-level / Intermediate
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Marking a new era in passive authentication, fraud prevention and intelligence. We make digital identity simple and more secure.
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Since our launch in 2012, we’ve been on a mission: to make digital identification simple and secure for everyone, and everything.

In that time, we’ve expanded constantly, and been joined by nearly 400 incredible people, all with the same vision. We’ve grown in other ways too – we raised $35m in our Series A funding round, and launched our game-changing authentication platform.

Our technology is now being used by hundreds and thousands of users worldwide, including some of the world’s leading financial institutions.

And this is just the beginning.

Over the next year, Callsign will double in size as we continue our mission to make every web, mobile and physical interaction seamless and secure.

We can’t do that alone, though. That’s why we’re looking hire the brightest, most inquisitive minds out there: the people who want to help us change the rules of identity ­– and have the skills and passion to make this mission a reality.

Does that sound like you? Let’s talk.

We are now on the hunt to find a Lead Data Scientist to act as our subject matter expert, within our Abu Dhabi office. This is a newly created position on the back of organic growth.


• Conduct data analysis, statistical modeling, and supervised machine learning based on customer’s confirmed fraud events to use the Callsign platform to the full extent.

• Set up the initial policy based on the customer’s objectives.

• Investigate suspicious behavior observed, often from confirmed fraud events, and provide new insights and policy suggestions.

• Drive policy enhancement that will lead to immediate real-world impact in increased profits, lower authentication friction, and reduced credential abuse for the customer.

• Leverage experience at peer organizations to provide data insight & identify emerging threat vectors.


●Minimum 5 years’ experience in fraud & authentication investigation in Banking, Payment processor or large E-comms.

● Ability to make decisions with limited and conflicting information.

● Solid knowledge of Card Not Present (CNP) environment, ACH, ACH Returns, Credit Card Chargebacks, Account Takeover Patterns, Login Compromise, Payment fraud.

● Strong Machine Learning background & fluency in python, JavaScript, SQL, Scala, R etc



Tags: Banking Data analysis JavaScript Machine Learning Python R Scala SQL Statistical modeling

Perks/benefits: Career development

Region: Middle East
Job stats:  4  2  0
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