The Role / Responsibilities :
The Data Scientist will partner with Finance leadership on the development and implementation of data science strategy, machine learning applications, and other data science solutions.
The role is a critical enabler of Moody’s finance mission to provide data-driven financial insight to support execution of superior, real-time operating and strategic decisions.
The role ensures that Moody’s investments in transformative digital and analytic technologies are deployed strategically for maximum impact and value.
A key role responsibility is to work closely with the Finance team to develop data science use cases, and create best-in-class predictive models / data science solutions that answer impactful business questions by leveraging data and cutting-edge machine learning technology.
This also requires collaboration with colleagues in IT providing data security, data modelling, data architecture and application support.
The role necessitates a high degree of flexibility, balancing stakeholder demands for near term proof of concept’ execution with long-term, sustainable quality content aligned to the maturity of supporting IT investments.
The candidate must provide frequent and consistent communication to finance and business stakeholders, keeping them informed on the progress of data science initiatives and adjusting strategy based on demands.
This involves a willingness to consult with finance and business stakeholders to understand their objectives and collect requirements to develop suitable data science solutions.
More broadly, this role is expected to have a positive impact of the Finance Transformation, Data & Systems team across finance, working hand in hand with Business Intelligence & Analytics partners, business advisors and project managers to demonstrate the worth of Moody’s investments in transformative technologies.
data ingestion, processing, model development, model deployment, etc.