Data Scientist - Anti-Money Laundering Analytics, Modeling

Responsibilities Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts Collaborate with 1st, 2nd and 3rd line of defenses and other key stakeholders Requirements Master's degree or higher in a quantitative field Experience with data mining and data preparation for ML models Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms Strong programming skills in Python, PySpark, R, and/or SQL Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners Ability to manage multiple projects simultaneously Strong teamwork skills and ability to work across different departments #J-18808-Ljbffr Jobtailor