The data matching task is simple but requires meticulousness as there is no room for error. You must know Python or an equivalent programming language for fuzzy matching. I have two lists. List A has around 2500 companies and List B has more. The task requires matching the firm names in both lists. For example, List A might have the company "Apple". List B would have the same company as "Apple Inc." So all you need to do is that for each of the 2500 companies in List A, find the equivalent company in List B. Knowledge of Bloomberg is not required but if you have access to a Bloomberg Terminal, it would be helpful. If the project is done exceptionally well without any error, I will also give a bonus.
Posted On: November 25, 2021 17:16 UTC
Category: Data Entry
Skills:Bloomberg Terminal, Data Entry, Microsoft Excel, Data Mining, Accuracy Verification, Finance, Python
Country: United States
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