J.P.Morgan’s massive guide to machine learning and big data jobs in finance by Sara Butcher.
From the post:
Financial services jobs go in and out of fashion. In 2001 equity research for internet companies was all the rage. In 2006, structuring collateralised debt obligations (CDOs) was the thing. In 2010, credit traders were popular. In 2014, compliance professionals were it. In 2017, it’s all about machine learning and big data. If you can get in here, your future in finance will be assured.
J.P. Morgan’s quantitative investing and derivatives strategy team, led Marko Kolanovic and Rajesh T. Krishnamachari, has just issued the most comprehensive report ever on big data and machine learning in financial services.
Titled, ‘Big Data and AI Strategies’ and subheaded, ‘Machine Learning and Alternative Data Approach to Investing’, the report says that machine learning will become crucial to the future functioning of markets. Analysts, portfolio managers, traders and chief investment officers all need to become familiar with machine learning techniques. If they don’t they’ll be left behind: traditional data sources like quarterly earnings and GDP figures will become increasingly irrelevant as managers using newer datasets and methods will be able to predict them in advance and to trade ahead of their release.
At 280 pages, the report is too long to cover in detail, but we’ve pulled out the most salient points for you below.
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How important is Sarah’s post and the report by J.P. Morgan?
Let put it this way: Sarah’s post is the first business type post I have saved as a complete webpage so I can clean it up and print without all the clutter. This year. Perhaps last year as well. It’s that important.
Sarah’s post is a quick guide to the languages, talents and tools you will need to start “working for the man.”
It that catches your interest, then Sarah’s post is pure gold.
Enjoy!
PS: I’m still working on a link for the full 280 page report. The switchboard is down for the weekend so I will be following up with J.P. Morgan on Monday next.
Would be very interested if you get the report. The closest I’ve found was on a Chinese site which only had about ~100 pages, which was mostly generic stuff on ML and didn’t include the finance-specific parts.
Comment by geekraver — June 18, 2017 @ 12:31 pm