Machine learning electives for AM - Incoming MSF seeking advice

Hello monkeys, 

I will soon be starting the Masters in Financial Analysis program at London Business School and I am looking for some advice to break into BB ssset management.

I recently spoke to an MD at JPM Asset Management and he told me that "coding is the new English", he also mentioned that I should be able to use Python to do all the work that I would typically do on excel. In view of this should I study Machine learning and coding elective while pursuing my MSF? 

I am currently working as a Data Analyst with The Economist Group, and my role is very quantitative. I do model building and use Python for developing forecasts. Keeping this in mind quantitative subjects won't be difficult for me. Do you guys think this experience will help me to break in the AM industry in London.

Please share any other tips/ suggestions that you might think will help me in securing a role as a summer analyst in AM/IM. Thanks a lot!

Comments (6)

 
 
Feb 24, 2021 - 1:19pm

Alright so I was speaking to somebody at Schroder's so not exactly JP however he made it clear to me that if you want to be in the investments division, coding really shouldn't be high on your list. Most of the time they source out anything that needs some type of big data analysis out to the Tech staff and they focus specifically on fundamental analysis and understanding the core principles involved in an investment. Learning how to code will get you nowhere if you can't simply break down when and why you should purchase a particular asset. Hope this helps!

 
Feb 24, 2021 - 1:41pm

Whenever he said "you should be able to do things you do on Excel on Python" he doesn't mean Machine Learning.

He means being comfortable with data querying and mathematical computation packages like Pandas, Numpy, and Scipy.

If there's a class on mathematical computation that teaches you about these packages + basic programming concepts I'd take that. 

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