Job Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- At Cross River, we're building the financial infrastructure that powers global innovation.
- As a Data Scientist you'll drive data-informed decisions to strengthen AML/CFT compliance and empower business leaders with actionable insights.
- Collaborate with cross-functional partners to deliver a comprehensive view of risk, monitor impact of strategies, and adjust as needed.
- Design and refine transaction monitoring scenarios, produce dashboards and reports, and guide optimization efforts.
- Provide routine and ad hoc reporting tied to AML/CFT compliance and support development of policies and procedures for AML transaction monitoring life cycle.
Requirements
- 3+ years or relevant experience in the data analytics and/or data science field - Must
- 3+ years' experience using SQL/Python for querying data and for data manipulation / transformation – Must
- Significant experience in implementing an end-to-end AML/CFT compliance management platform that includes transaction monitoring tools - Must
- Native level English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment and good Hebrew
- Experience implementing AML or Fraud Transaction Monitoring in Palantir - A plus
- Experience in Business Intelligence/Data Exploration and Visualization tools
- Experience in Implementing AML or Fraud Solutions, AML/Fraud Alert Generation Process, Scenario Management
- Strong analytic skills and problem solving with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
- Knowledge and understanding of machine learning and artificial intelligence approaches, ideally with experience of applying them in an AML/Fraud context