To apply: https://www.nbn.org.il/jobboard/job/aml-data-scientist-team-lead/
Position Seniority: Senior
You are:
If you’re the kind of person that loves to get things done, collaborate with colleagues overseas, and is interested in joining a highly profitable fast-growing fintech company, then you should join us. You are detail-oriented with an analytical, logical way of thinking, and are passionate about making data-driven decisions. You are ready to put the work in to learn from the best. You have worked on SQL and have had some exposure to programming.
We are:
We are a fast-growing Data Science team, focused on Risk Management. We value innovation and collaboration. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations and ensuring the continued growth of the bank.
You will:
Lead and mentor a team of data scientists to deepen their understanding and use of cutting-edge data science and machine learning methods, focused on Anti-Money Laundering/Bank Secrecy Act
Collaborate with various internal partners in the US to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
Be responsible for performing analysis, interpreting results and developing actionable insights to accelerate operational excellence, demonstrate compliance and mitigate risk.
Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
Support and maintain vendor models used by the AML group for transaction monitoring.
Apply appropriate quantitative techniques such as exploratory data analysis, regression analysis, supervised and unsupervised learning, feature engineering, statistical sampling, and data visualization
Develop scenarios involving tuning, calibration, segmentation and optimization.
Provide routine and ad hoc reporting tied to AML/BSA compliance and risk.
Build relationships with the business line and collaborate cross-functionally to access internal as well as industry data sources, understand the data being analyzed, and identify process improvement opportunities
Prepare model documentation and respond in a timely manner to effective challenge from model validation, internal audit, and regulatory reviews
Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.
Work regularly with the CRB US team on the East Coast and be available until 19:30/20:00 4 days a week.
You have:
