The Role:
Data Associate performs a range of data, analytical and research services that contribute to the
overall credit analysis function performed by the fundamental and/or structured finance rating
groups. Prospective candidates will have some knowledge of financial statements and financial
terms. The ideal candidate for this role will possess strong organizational skills, demonstrate
attention to detail as well as their ability to work effectively in a collaborative team environment.
Being part of the Data & Analytics function provides a unique opportunity to foster skills that are
valuable to any future career in the financial services industry. This will be an internally facing role,
reporting into the team manager
Responsibilities:
Perform analysis to support ratings, research, analytical outreach. Examples of work include:
Perform various data intake tasks, including scrubbing, validating the data for further use in
research and ratings
Gather data from various sources and update relevant databases based on clear instructions
Identify and research issues with data; escalate to senior members for help in resolution
Complete simple credit infrastructure/admin tasks with oversight such as maintaining
documents on a SharePoint, basic database updates and maintaining certain files
Share daily and weekly updates as required by the process including workflow status or
summaries of the databases, reports, and lists
Skills:
Credit:
Attention to detail and ability to complete processes with full guidance
Understand the datasets as well as input and output requirements
Stakeholder Management:
Interact with team members and direct managers
Qualifications:
Bachelors in Finance, Business, Accounting or similar field
Relevant experience of up to 1 year in credit/financial data analysis and interpretation
Microsoft Office skills, in particular basic Microsoft Excel skills
Fluency in English with good written and verbal communication skills; good interpersonal skills
* Language skills may be required for certain positions