Vice President, Data Scientist jobs in United States
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BNY · 1 week ago

Vice President, Data Scientist

BNY is a leading global financial services company that influences nearly 20% of the world’s investible assets. They are seeking a Vice President, Data Scientist to join their Financial Crimes Compliance team, where the role involves developing and analyzing financial crimes compliance detection models and communicating findings to senior management.

Financial Services

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

Qualification

Machine LearningStatistical AnalysisPythonSQLData AnalysisFinancial Crimes KnowledgeProject ManagementCommunication SkillsAttention to DetailCritical Thinking

Required

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
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
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
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
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

Preferred

Experience working in Global Financial Crimes Technology with Anti Money Laundering and Economic Sanctions knowledge a plus

Benefits

Highly competitive compensation
Benefits
Wellbeing programs
Generous paid leaves
Paid volunteer time

Company

We help make money work for the world — managing it, moving it and keeping it safe.

Funding

Current Stage
Late Stage

Leadership Team

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Brian A. Ruane
CEO Government Securities Services & Global Client Management
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Chris Kearns
CEO, Depositary Receipts
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Company data provided by crunchbase