Senior Associate, Data Management & Quantitative Analysis

• Generation of the shared data toolkit comprises of BNY s proprietary iFlow indicators and Investment & Wealth Management (IWM) forecasts. Help own the health and evolution of our Shared Data Toolkit a modular data library that ingests, pre-processes, and delivers clean time-series data and model components to research, trading, and client-facing teams.

Toolkit Development & Maintenance-

• Extend core utilities for data cleansing, feature engineering, and model integration.
• Enforce documentation, versioning, and unit-test standards across the toolkit.
• Refactor legacy code into reusable, production-ready modules.
• R&D Collaboration
• Partner with quants to onboard new macro, market-microstructure, and behavioral datasets.
• Prototype and benchmark forecasting models; monitor drift and align output with research intent.
• Conduct code reviews and coach analysts on best practices.
• Data Governance-
• Automate quality-checks and anomaly alerts for high-frequency updates.
• Coordinate with Data Ops to ensure secure, traceable data lineage.

• Technical skills required: SQL / SQL Server, Python, Oracle , ETL orchestration experience with AI/ML a plus
• High school/secondary school or the equivalent combination of education and experience is required;