Apply strategic and analytical skills to build monitoring solutions to combat money laundering
Lead development and implementation of advanced data science models and algorithms
Collaborate with stakeholders to understand requirements
Analyze and derive insights from large volumes of data
Implement monitoring solutions in a fast-paced environment while driving best practices in data science

Requirements

Minimum of 5 years of relevant work experience
Bachelor's degree or equivalent experience
Minimum of three years of experience in the field of AML transaction monitoring
Minimum of two years of experience working with development, tuning and optimization of AML transaction monitoring rules and reports
Thorough understanding of AML typologies and transaction monitoring processes
Good understanding of transaction monitoring systems such as Oracle Mantas, Actimize etc.
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
Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
Excellent communication skills, both written and verbal
Self-driver with the ability to work with a cross-functional team
Ability to take initiative and execute against key projects independently

Benefits

medical
dental
vision
life and disability insurance
parental and family leave
401(k) savings plan
paid time off
flexible work environment
employee shares options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data science modelsalgorithmsSQLAML transaction monitoringdata analysismodel developmentquery optimizationdata visualizationmonitoring solutionstransaction monitoring processes

Soft Skills

strategic thinkinganalytical skillsproject leadershipcommunication skillsbusiness acumencreative thinkingmulti-taskingcollaborationinitiativeself-driven