Data Scientist Vice President; AFC Modelling, Analyst

Responsibilities

• Responsible for Driving and execution of the Anti-Money Laundering (AML) Transaction Monitoring Americas data strategy in line with the Global Data Strategy/Framework
• Develop and evolve platform reporting statistics/data to monitor ongoing model success
• Perform ‘deep dives’ to interpret data quality issues, identify remediation and track to resolution
• Work with Business (1
  
  LOD) to understand the products being offered and define specifications/red flags for Transaction Monitoring models
• Review and address open AML TM findings in a timely fashion

• Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy)
• Excellent analytical and data science skills, including ability to independently drive research
• Bachelor’s/Master’s degree in Computer Science, Data Science, Management Information System (MIS), Information Management, or equivalent
• Experience in Financial Crimes space
• Previous relevant experience conducting data science or Model Development in a business setting
• Demonstrated experience in Relational databases, Structured Query Language (SQL), Big Data Hadoop, Hive Query Language (HQL), Data visualization tools
• A positive outlook in a goal-oriented organization
• Flexible and able to adapt to urgent deliverable timelines
• Ability to demonstrate analytical, judgment, and research skills
• Meticulous with a strong attention to detail and the ability to multitask