Oracle’s Financial Services Analytical Applications group is responsible for the development and marketing of financial industry-specific marketing, profitability, risk management, fraud, and regulatory compliance analytics applications. Our software is in over 70% of Global Systemically Important Financial Institutions (GSIFS). Our market-leading financial crime and compliance software suite is used by over one hundred leading financial institutions globally and underpins Anti-Money Laundering, Operational Risk, and Enterprise Fraud systems at some of the largest financial institutions in the world. 

Career Level - IC4

Job Requirements
   •   Provide comprehensive technical requirements and design docs
   •   Actively engage in collaboration groups and think outside of the box.
   •   Design rules and algorithms to identify fraudulent activity such as real-time transaction fraud and  Identity Fraud and Cybercrime.
   •   Meet metrics for engineering quality
   •   Train pre-sales and sales teams on product usage and product positioning.
   •   Fully document all development and ensure product documentation is industry leading.
Qualifications:
   •   6+ years of experience in building machine models in R, Python or SAS and/or hands-on knowledge of graph analytics.
   •   Hands-on expertise with SQL databases such as Oracle
   •   Knowledge of the Apache Hadoop ecosystem, Apac

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Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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