Depends what type of strategy the fund is running. Traditional Long/Short? Basic Excel + Bloomberg. I also frequently use Datastream/Street Events. If you are in a industry specific group, you will probably also be using some sort of industry database.
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In general, knowing SQL and R is very useful. There are tons of resources out there and they are both easy languages to learn. Coursera, Codeschool, datacamp, or go on Amazon and buy a workbook and work through it.
If you work with a lot of raw data and you learn the basics and know how to graph data in R, that could potentially save you a ton of time versus trying to do it in Excel.
Discretionary Macro: Bloomberg is the most important, followed by Excel and Outlook...
Knowing R/ Matlab/ Numpy is beneficial for your own modelling. However, it certainly isn't necessary and is often a hindrance as hardly anyone uses it. It wouldn't be worth a person's time to install R on their pc and learn how to run your code to generate daily reports etc. And if you're doing some fairly complex quant work that's easier to run on R, then you're probably completely missing the mark cause the name of the game is to keep things as simple as possible to ensure your work is efficient and actionable.
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Depends what type of strategy the fund is running. Traditional Long/Short? Basic Excel + Bloomberg. I also frequently use Datastream/Street Events. If you are in a industry specific group, you will probably also be using some sort of industry database.
In general, knowing SQL and R is very useful. There are tons of resources out there and they are both easy languages to learn. Coursera, Codeschool, datacamp, or go on Amazon and buy a workbook and work through it.
If you work with a lot of raw data and you learn the basics and know how to graph data in R, that could potentially save you a ton of time versus trying to do it in Excel.
It never hurts to learn a new skill.
Discretionary Macro: Bloomberg is the most important, followed by Excel and Outlook...
Knowing R/ Matlab/ Numpy is beneficial for your own modelling. However, it certainly isn't necessary and is often a hindrance as hardly anyone uses it. It wouldn't be worth a person's time to install R on their pc and learn how to run your code to generate daily reports etc. And if you're doing some fairly complex quant work that's easier to run on R, then you're probably completely missing the mark cause the name of the game is to keep things as simple as possible to ensure your work is efficient and actionable.
This doesn't apply if you're a quant.
Laborum quas molestias consequatur consequatur sed doloremque. Qui nihil repellendus consequatur asperiores optio voluptatibus.
Qui nam maiores natus voluptas. Qui est officia in accusantium ut est. Consequatur eos maxime rem blanditiis. Minus qui et ullam quis veniam.
Accusamus quibusdam doloremque omnis quasi. Exercitationem inventore ipsum quos. Ratione provident est suscipit repellendus fugit reprehenderit asperiores. Fugit sit dolorem eos et iste vero. Et iste aut aperiam quia quas culpa officiis. Aut quia quia ab occaecati voluptatem at.
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