Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?”
If so, then you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences or answering critical questions. Curiosity is our code, and the opportunities here are endless.
What we do
We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.
What you’ll do
Are you interested in learning something new every day? Would you enjoy working in a fast-paced environment and collaborating to build and implement software solutions that meet customer needs?
Then our Fraud & Security Intelligence Division will keep you on the go. Learn SAS’ core technologies, begin to provide consulting services to clients, assist sales teams with revenue opportunities and gain the practical knowledge you need to achieve professional SAS certifications.
This role will give you the opportunity to be involved in a multitude of Financial Services projects across the region industries independently or with other team members. You have a natural curiosity for complex business questions and the drive to solve them, using the power of data through technology and analytical methodologies.
As a Financial Services Advisor, you will deliver technical and subject matter support for software pre-sales and post-sales activities primarily with financial services clients. As someone with technical acumen, you will be responsible for recommending and demonstrating the latest technologies and best practices to manage financial crimes risk. You will lead client workshops, develop and present software demonstrations, and recommended architectures. Some key
What we’re looking for
Ideally you are about to complete or completed your studies in Computer Science, Computer Engineering, Mathematics, Analytics or similar field of study.
Hopefully the classes that interested you at university were in the line of: Big Data Analytics, High-Performance Computing, Data Quality,Data Management, Business Intelligence,…
Some other key points are:
The nice to haves
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