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Cyber Fraud Analyst

Toronto, Ontario  - Permanent



Job Description

Our client is a division of one of the worlds largest mobile commerce platforms which produces over 2 billion transactions a year, the majority of which occur on mobile apps. They pioneered and are the leader of QR based mobile payments in India, with over 300 million customers, they started out by offering mobile recharge and utility bill payments, and today they offer a marketplace to consumers on their mobile apps.

Their scale offers a very unique set of challenges and they are innovation around data/capabilities essential to scale even higher. They work with much longer horizons and accept trial and failure as part of building the right solution. They are about solving problems that have little or no precedent. These challenges require lots of creative thinking based upon a very deep understanding of how software works. You should have a very high degree of comfort in a programming language of your choice.

We offer a flexible work schedule and you get your choice of tools(both hardware and software) and most importantly the opportunity to work on tough problems with the brightest minds around you!

• Monitor accounts and transactions to identify and predict risky behaviour
• Scale risk processes to cover an increasingly large and complex landscape of payments risks given our rapidly expanding user base
• Work with our banking partners around the world to tailor fraud and credit risk management techniques to different geographies
• Collaborate cross-functionally with other internal teams to implement sustainable solutions for fighting abuse and managing payments risks


Must Have Skills:

• Naturally curious and passionate about risk prevention: if something seems off, you want to investigate what’s going on and solve root problems
• Decisive, yet open to learning: you will make many critical decisions every day, even with the knowledge that you will be wrong some of the time
• Understanding and empathetic to the challenges of setting up a new business
• Strong data visualization skills and a passion for data and analysis
• Excellent communicator who is able to convey complex ideas succinctly
• Expertise in writing SQL to query relational databases and/or experience with quantitative tools such as Spark, Scala, Python, R
• Experience with payments, risk, or trust & safety and with machine learning teams
• Experience working in fast-paced and rapidly changing start-up environments


Details:
Starting: ASAP
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