The team is responsible to drive projects to automate the flow of validated high-quality data and to build algorithms to leverage the firm’s global data sets to optimize liquidity management in partnership with Corporate Treasury by
1. Writing models to detect anomalies in structured datasets
2. Writing algorithms to learn the signals and interactions between different data streams and resulting liquidity and liquidity risks.
3. Employ models to forward project liquidity and analytics which guide the firm as it seeks to optimize liquidity risk management and liquidity actions.
The Data Science team provides a unique opportunity to create data driven solutions to guide critical decisions at senior levels in the firm. Team members are immersed in the business groups which execute daily liquidity risk management where they are empowered to innovate novel tools, analytics, and data visualizations to transform the corporate treasury functions.
The Data Science team has been created to nucleate a critical mass of expertise to leverage the application of sophisticate data analytics and machine learning techniques.
Salary: Not Disclosed by Recruiter
Industry:IT-Software / Software Services
Functional Area:Analytics & Business Intelligence
Role Category:Analytics & BI
Employment Type: Permanent Job, Full Time