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
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 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.
