Vice President, Data Management & Quantitative Analysis I
At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We're seeking a future team member for the role of Vice President, Data Management & Quantitative Analysis I to join our BNY Institute - BNY's macro strategy insights platform team. This role is located in Pune, MH - HYBRID.
In this role, you'll make an impact in the following ways:
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.
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