Data Scientist

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Looking for an experienced Data Scientist to join our Financial Crime team

Oracles 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

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Job Requirements:

• Develop tools and frameworks that allows data scientists and business analysts to build models to detect financial crime and understand risks
• Build Targeted models to detect financial crime and financial fraud
• Deliver high quality code that meets software engineering standards
• Show a product mindset and deep interest in the domain including
• Identifying new use cases for the business to tackle
• Develop new techniques or adapt techniques from other industries to solve problems better
• Ensure documentation meets highest standards
• Enabled sales and pre-sales through demos and workshops

Preferred Qualifications

• Candidates who have a history of contributing to open source projects, work on side projects or actively blog are preferred
• 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