Data Scientist

Job Description

Short description displayed on job tile 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 Responsibilities displayed in the job posting 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