Tech Stack
BigQueryHadoopMySQLOracleSQLTableau
About the role
- Design and implement advanced data science models to support business needs
- Apply strategic and analytical skills to build monitoring solutions to combat money laundering
- Analyze large volume of data and derive insights to drive recommendations and implement monitoring solutions
- Lead complex data science projects, ensuring they meet business objectives and deliver actionable insights
- Develop advanced data models and algorithms to analyze large datasets and solve complex business problems
- Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency
- Implement best practices for data management, analysis, and visualization
- Ensure data governance and compliance with relevant regulations and standards
- Provide mentorship and technical guidance to the data science team
- Develop AML and Brand Risk Management transaction monitoring rules, tune and optimize rules to improve efficiency and effectiveness
- Prepare reports and updates to senior management and develop documentation meeting regulatory and audit requirements
Requirements
- Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience
- Previous management experience
- Minimum of six years of experience in the field of AML transaction monitoring, fraud detection, and AML/CFT
- Minimum of four years of experience working with development, tuning and optimization of AML transaction monitoring rules and reports
- Thorough understanding of AML typologies, as well as transaction monitoring processes used to mitigate these risk typologies
- Good understanding of transaction monitoring systems – custom built or vendor systems such as Oracle Mantas, Actimize
- Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
- Strong SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop, Big Query
- Experience in building and developing models, queries, or software to analyze and visualize data using tools such as Tableau
- Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis
- Strong written and oral communication skills, with the ability to communicate to all levels of the business
- Self-driver with the ability to work with a cross-functional team
- Ability to work in multiple projects simultaneously in a fast-paced and dynamic financial services environment
- Experience in developing documentation that meets the highest regulatory standards and audit requirements
- Prepare reports and updates to senior management regarding the above activities
- Structure and refine analysis with the goal of distilling insights from the data
- Exceptional interpersonal and communication skills, intellectual curiosity, and passion for problem-solving
- Ability to take initiative and execute against key projects independently
- Ability to thrive in a cross-functional environment while juggling multiple responsibilities