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Quantopian "Quantitative Trader" job title - is Quantopian writing its own algos?

I've now come across a second "Quantitative Trader" position at Quantopian. The first was on the Quantopian site (a webinar) and the second I stumbled upon in LinkedIn.

Is Quantopian getting into the business of writing its own algos? Or am I misinterpreting the title "Quantitative Trader" (perhaps in the context of the crowd-sourced model, "trading" user-written algos)?

It would make complete sense to move in this direction--just wondering if anyone can confirm?

5 responses

You are misinterpreting the job title. Those with that role have not written algorithms for Quantopian. The job centers around the execution and monitoring of the trades from the algorithms. Trading capital on behalf of third-parties requires compliance with a whole host of regulatory, contractual and common-sense obligations. They are part of our team that helps to ensure we execute trading smoothly, day-in, day-out.

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Thanks Josh - doesn’t sound very sexy but I guess it’ll pay the bills. Kinda odd title though. Normally I think of a trader as someone trying to make money on trades versus compliance monitoring.

1) Compliance monitoring is incredibly important. We (Quantopian and the community) wouldn't be able to set up the allocation system without it.

2) Compliance monitoring is only part of the job. There are many relationships that need to be fostered and maintained. A concrete example of some of the work Michele does is delivered through her awesome webinar, analyzing transaction costs: https://www.youtube.com/watch?v=48MqiNANcFA

But yes, there's a lot that Quantopian does for the community that isn't sexy! We try to do as much of that stuff for you so that you get to do the fun stuff -- the quantitative research, the search for alpha.

Makes sense. Thanks for enabling the fun stuff.

Hi Josh -

I just watched Michele's webinar (while running on a treadmill, so I can't say I captured all of it). Is the notebook available? Or maybe she could publish a bibliography, along with key code snippets? For example, the volatility measure based on OHLC bars appeared interesting.

Also, the final bulletized list of take-aways was hard to follow, although I'm sure quite relevant. If she were to flesh these out a bit, it would probably be helpful to algo writers.

Maybe a forum thread could be started on the topic, as I have a few other questions/requests?