Looking for an experienced Data Scientist to join our Financial Crime team
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.
Responsibilities :
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:
• A bachelor’s degree in engineering, Mathematics or Statistics
• 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
