Our Data Science team focuses on Risk Management. Our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis.
You are detail oriented with an analytical, logical way of thinking, and are passionate about making data driven decisions. You know how to manage a team while still enjoy working hands-on in the AML world with the SAS tools.
This is an open role for a new member of the AML Data Science team responsible for performing analysis on data focused on Anti-Money Laundering/Bank Secrecy Act, interpreting results and developing actionable insights to accelerate operational excellence, demonstrate compliance and mitigate risk.
You will:
- 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.
- Collaborate with various 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/BSA compliance and risk.
- 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.
You have:
- 4+ years or relevant experience in the data analytics and/or data science field
- 3+ years experience using SQL/SAS for querying data and for data manipulation / transformation
- Experience in Business Intelligence/Data Exploration and Visualization tools
- Experience in SAS Anti Money Laundering (AML) Solutions, AML Alert Generation Process, Scenario Management, advantage
- Programming experience in SAS/Base, SAS/Enterprise Guide
- 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 approaches, ideally with experience of applying them in a financial context
- Quick thinker, fast learner and problem solver with ability to get things done, from start to end
- Good team player, self-motivated and proactive at work.
- Effective interpersonal, verbal, and written communication skills
- Excellent computer skills, including proven experience with Microsoft Office suite
- Native level in both Hebrew and English
Please send CV to [email protected]
