תיאור התפקיד
Risk & Compliance
The Data Science team, focused 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
דרישות התפקיד
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 or Python
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
Why join us
Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans
Globally, Cross River has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices
We offer a wide range of wellness benefits including ongoing learning and development opportunities; monthly wellness reimbursement; volunteering opportunities; charitable donation matching; Keren Hishtalmut on full salary; private health and dental insurance; advanced study fund and various company events
We place a strong emphasis on employee satisfaction and growth
