Job Description

The fight against financial crime is changing.
For years, financial institutions have been facing complex challenges in keeping up with the continuously arising regulatory requirements and internal obligations to combat financial crime ; while money launderers and fraudsters have been using more and more sophisticated techniques to outsmart regulations, data silos and outdates detection techniques in place.
Oracle has invested like no other player in Product Innovation, resulting in the industry\xe2\x80\x99s most comprehensive and modern solution suite. We leverage AI, ML and graph to modernize Anti-money laundering (AML) and Fraud Compliance programs. 70% of Main Global Financial Institutions are trusting us to power their transformation. With proven capabilities for the entire Compliance value chain. Oracle is committed to a greater purpose of creating a \xe2\x80\x9csafer world\xe2\x80\x9d. We are transforming how the industry operates, leveraging the newest technologies, the latest advances in data science and the brightest minds. We are looking for an individual with prior experience in anti money-laundering regulation analysis and analytics, to join a team of product managers & developers who are responsible for a suite of a financial crime and compliance applications. We wish to transform how the industry does business, leveraging the newest technologies, the latest advances in data science and the brightest minds. Join us and help realize our vision.
Role Description You will part of the team that supports the direction for Oracle\xe2\x80\x99s Financial Services Analytics Group and as such, you are expected to work in close collaboration with Product Management, Data Science, Engineering and Sales leadership in the development and implementation of the requirements for the Transaction Monitoring & Financial Crime applications.
This role requires knowledge of Anti money-laundering at a global level. Both from a business/data model perspective as well as the regulations that drive the products functionality. Ability to track, analyze and drive implementation of product updates to ensure clients remain compliant and in sync with evolving regulatory reporting requirements.
This is an opportunity to be impactful in a meaningful way, towards the building of the next generation platform for our Financial Crime and Compliance product suite. Qualifications

• 8+ years of practical experience in AML advisory roles within a regulated financial services firm
• In-depth understanding of global AML regulations, red flags and typologies
• In-depth understanding of financial crime and AML policies, procedures and control arrangements in complex financial organizations preferably covering multiple business lines (such as retail banking, correspondent banking, wealth management, brokerage, trade, asset management etc\xe2\x80\x99)
• Strong experience in analyzing data from multiple sources, including hands-on experience with data mapping and ETL processes
• Knowledge of AML transaction monitoring systems, programming/engineering background and knowledge of Machine learning and AI technology - an advantage
• Bachelor\xe2\x80\x99s/ Master\xe2\x80\x99s degree in a relevant field preferred with extensive experience in Financial Crime space with expertise in AML Transaction Monitoring
• Excellent written and oral communication skills

• Keep current on AML regulations and regulatory trends in major jurisdictions across the globe and how they affect customer pain points.
• Analyze major publications red flags (such as FATF recommendations) and ensure complete product coverage of these areas.
• Understand the potential capabilities of new technologies (e.g. Machine Learning and Graph Analytics) and how they can benefit the AML product portfolio.
• Own the application data model and ensure it stay up to date with latest financial products and regulatory trends.
• Performing market analysis and definition and how it impacts product strategy and position. Analyzing the competitive landscape. Assisting in the marketing plan to develop collateral such as product messaging trees and data sheets.
• Support go-to-market plans and develop collateral that will support the sales and on-going client satisfaction of the product.
• Collaborate with development managers, software engineers and data scientists in developing product requirements and specifications.