Fraud Data Analyst (Data Scientist) - Abu-Dhabi, UAE

We’re a high growth Technology scale-up, with a propensity to action, a collaborative spirit, driven by a huge global opportunity. We also operate within a highly regulated market, servicing Tier 1 banks, governments & eCommerce platforms. It means alongside a need for agility we also value operational rigour. We’ve turned that rigour into a competitive advantage.

The Fraud Data Analyst (data scientist) will 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.

The analyst will also set up the initial policy based on the customer’s objectives.

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

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

The analyst will leverage experience at peer organizations to provide data insight & identify emerging threat vectors.

Requirements

Minimum 2 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 & SQL etc.

Fluency with data analysis and visualization tools.

Experience working with Rules Engine.

Experience working with AWS architecture & data engineering.

Customer facing experience solving real world problems.

Benefits

Callsign is in a period of significant change, consolidating in key markets, challenging past norms. You’ve an opportunity to help us make that happen.

You’ll experience a strong workplace culture that values being purpose-led, collaborative and accountable

We pride ourselves on being a great place to learn, providing challenge, stretch and the opportunity to develop and grow.

As an agile, entrepreneurial company we pride ourselves on flexible ways of working. We operate a hybrid work model.

Competitive pay & benefits, visa and relocation support.