Data Strategy team’s primary function is to provide support and advisory for data initiatives related to model development and monitoring. It is a part of the broader Credit Portfolio Management function within the bank.
This role will focus on development and support work around our departmental data infrastructure and new data initiatives for Model Monitoring team. It is a project-based role, and the core function of the role is to perform data sourcing and wrangling using tools like Python / SAS / SQL i.e., manipulations on data to enable efficient analysis and consumption of data by users. However, the responsibilities can extend to understanding and drawing inferences from the data related to models, working with Technology to setup databases or dashboards as needed. The candidate is also expected to be motivated, independent, and self-driven due to the nature of projects that involve multiple stakeholders.
Ultimately, based on the areas that a candidate works on, he or she will be seen as an SME (Subject Matter Expert) on a particular topic with in-depth knowledge of the end-to-end lifecycle of data within a particular subject area eg: IRB / IFRS9 Model Monitoring etc. The candidate is expected to have or quickly develop knowledge of data wrangling using different tools as well as a broader understanding of the use cases within modelling.
