Data Scientist, AML
Cross River
PythonSQL
Data Scientist, AML
Cross River
full-time
Posted on:
Location Type: Hybrid
Location: Jerusalem • 🇮🇱 Israel
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations
- Collaborate with cross-functional partners to provide a holistic view of the analysis
- Measure and monitor results of applied recommendations and present adjustments
- Develop scenarios involving tuning, calibration, segmentation, and optimization
- Provide routine and ad hoc reporting tied to AML/CFT compliance
- Develop insightful and compelling summary reporting and dashboards for management and business line partners
- Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools
- Drive data-informed decisions that strengthen AML/CFT compliance and empower business leaders with actionable insights
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
- 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
- Ability to work hybrid: 3 days a week in the office (Jerusalem)
Benefits
- Flexible hybrid model: 3 days a week in the office – A must
- ₪1,000 net monthly wellness benefit – from therapy to Pilates to your kid’s art class
- Full Keren Hishtalmut
- Private health & dental insurance
- Donation matching
- Volunteering days
- Team outings
- Mentorship programs
- A mission-driven culture that values ownership, trust, and meaningful impact
- Snacks
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsdata scienceSQLPythonAML complianceCFT compliancetransaction monitoringdata manipulationdata visualizationmachine learning
Soft skills
communicationcollaborationanalytical skillsproblem solvingadaptability