The Work:
The Analytics team within the Treasury group is responsible for the management of the department’s database along with providing analytical support, behavioural modeling and help to achieve operational efficiencies. This role is a multi-faceted one, as responsibilities include database management, development of front-end to the database, reporting automation and deployment of visualization tools.
The Work!
Develop Front-end Tool (40%)
Support the manager in identify tools/platforms that will assist with process enhancement for areas within Treasury (e.g. front end to SQL database, cash/ liquidity management platform, IRR management tool, trading etc.) using AI and related tools
Work with the treasury team to understand departmental needs (as it relates to automation).
Provide technical support in evaluating and coordinating the initiatives with regards to front-end application tools.
Ensure Compliance to Data Governance (30%)
Ensure all processes and associated controls are documented.
Maintain a code library for regular/routine queries.
Ensure compliance to change management guidelines.
Develop business rules working with the business unit
Maintain and enhance Treasury’s existing SQL database (20%)
Maintain and enhance existing Treasury’s databases.
Ensure daily and monthly ETL processes run seamlessly.
Complete database issue fixes on a timely basis.
Develop new tables / processes for data related to new products or those that are not currently in the database.
Departmental Data Support (10%)
Liaise with internal (treasury) and external partners (within the Bank) in identifying data needs and ensure high level of service is maintained at all times
Let's Talk About You!
University education (undergraduate), with a focus on math and/or computer science
3M to 6M+ programming experience in Python and SQL
High level of Proficiency at SQL and Python is required
Minor experience in database management and/or data analytics
Knowledge and experience of visualization tools, such as Tableau, Power BI will be an asset
Knowledge and experience of Data Governance will be an asset
Hands on experience of ETL tools (e.g. SSIS)
Strong skills in problem solving, logical thinking, process building and analytics
Demonstrated understanding of financial market instruments is an asset
Ability to collaborate with various functional support groups
Excellent interpersonal and communication skills both written and verbal
Ability to pay attention to details
Possess good business acumen
Strong believer in quality and excellence