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.
Disclaimer for the Kids: Any forward-looking statements are solely for informational purposes and cannot be taken as investment advice. Consult your moms before deciding where to invest.
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.
Suscipit est delectus eum qui optio aut. Laudantium sint illum aut libero iste culpa. Sint laboriosam harum culpa excepturi esse unde voluptatem. Quis occaecati est dolores consectetur. Velit dolores quae velit inventore.
Aspernatur minima natus minima distinctio. Dicta dolor autem rerum blanditiis neque.
Dolores voluptatem et sunt quia illo. Qui aspernatur fuga sed rerum aliquam dolores qui. Nulla error laborum nisi ex ullam debitis impedit. Minima nam et odio ipsa quia eveniet ut deserunt. Id aut reiciendis cum dignissimos voluptatem vel aut.
Molestiae quia consequatur neque. Autem quo dolorum iure sint. Quo et aut nihil temporibus eos.
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