BNY is seeking a Data Scientist to join their Financial Crimes Compliance team to develop, test, and tune financial crimes compliance detection rules/models for AML transaction monitoring, sanctions screening, customer risk rating, etc.
Requirements
- Graduate degree in a quantitative discipline, e.g. Engineering, Computer Science, Mathematics, Operations Research, Data Science, and 7+ years of relevant experience.
- Strong critical thinking and data analysis skills.
- Experienced in collecting, organizing, and evaluating business data
- Understands databases (Oracle or Snowflake); good technical skills in querying and analyzing data (SQL or equivalent)
- Ability to manage issues and influence others to remediate
- Experience working in Global Financial Crimes Technology with Anti Money Laundering and Economic Sanctions knowledge a plus.
Responsibilities
- Development, testing and tuning of financial crimes compliance detection rules/models for AML transaction monitoring, sanctions screening, customer risk rating etc.
- Analyze and interpret data to facilitate statistical analysis for development, testing or tuning of financial crimes compliance detection rules.
- Perform ad hoc analysis used for statistical analysis as required.
- Conduct complex mathematical analysis utilizing various statistical methods or techniques including machine learning, GenAI, logistic regression and various other ensemble techniques (e.g., XGBoost, LightGBM)
- Interprets findings from statistical analyses performed for communication to senior and executive level management in written and verbal form.
- Ability to understand and use various programming languages like python to identify, investigate and resolve data and programming issues
Other
- Ability to pay attention to details
- Ability to report research results in a comprehensive, concise manner and to develop and present precise and clear metrics
- Skilled in coordinating and multi-tasking for various projects
- Ability to communicate effectively, both orally and in writing.
- Communicates and collaborates with all levels of team-mates
- Good organizational and project management skills, as well as attention to detail
- Multitasks, prioritizes and meets deadlines in timely manner
