Data Scientist – Anti- 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

• 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 product ionizing 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