We are a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable Embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. We are backed by leading investors and serve the worlds most essential fintech and technology companies. Together with its partners, we are reshaping global finance and financial inclusion.
We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services.
Requirements: You are
We are the data Science team focused on regulatory compliance, primarily Fair Lending and Anti-Money Laundering (AML). We support these areas with analytics and Machine Learning using Python, SAS, and other tools to ensure alignment with banking regulations.
You are detail-oriented, analytical, and passionate about data -driven decisions.
This is an open role in the AML data Science team, responsible for data analysis, interpreting results, and delivering insights that support operational excellence and regulatory compliance.
You will:
Present analysis clearly for informed decisions, collaborate across teams, develop and monitor scenarios, create reports and dashboards, and support AML policies and tools.
You have:
Native English, strong Hebrew, 3+ years in data science, SQL/ Python, AML systems, BI tools, Machine Learning, and AML/Fraud experience
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