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Maybe while they are at it they can make some additional $$ improving NYC MTAs sensor network so MTA can know where the trains are!

Context: I am a data analyst who previously was an auditor. JIRA was a game changer for me and I would have loved to have used it during my Audit career. As such, I want an Issue Tracker that works for technical and non-technical individuals.

I would want my Issue tracker to be deeply integrated with the company's Shared File System and Developer tools so all team members have a place to share their work. The Task page would be a place where all the work done could be shared in a clean way and even serve as a quasi-wiki. Like a Jupyter Notebook, I would love to include Markdown and Code along with attachments, analyses, and opinions. Everything would be included, not just the final relevant pieces. Side-analyses stemming from anomalies and potential issues would be hidden but there for those who need them. If something changed in an attachment like an Excel file, these changes would be reflected. Adding dependencies on files and the information contained within them could be linked so that if Account Manager A changes File B, I know that my work on Ticker 123 is now potentially conflicted.

Some finance books I love (and reread frequently). These books are more about characters and stories, more than traditional non-fiction.

My Life as a Quant by Emanuel Derman

The Quants by Scott Patterson

A Man for All Markets by Edward O. Thorp

Reminiscences of a Stock Operator by Edwin Lefevre

Flash Boys by Michael Lewis

> "not the need to find my place in life at this stage,"

I appreciated this perspective. My primary motivation for pursuing deep work is due to an insecurity with my current ability to be useful to the economy. If this was validated or I solved the mental part of it, I suspect the anxiety would lessen a bit.

I like to think of myself as having "alternative" priorities :) Thanks a bunch!

I think a key factor in this decision may be the perceived risk of putting huge capital behind a single black box model. I would assume this differs from more ML-heavy quant firms like Two-Sigma, because BlackRock's products generally perform at a huge scale with some central idea behind them. Two-Sigma probably can spread out the same amount of assets across many different black-box models, diversifying and reducing risk through these means. In this case, perhaps only 1 model dictating such a huge chunk of capital was just too much uncertainty?

I have no evidence of the scale and diversification of both these, so evidence would be helpful in refuting the above!

Business Intelligence Roadmap by Moss and Atre

Some crazy stat exists related to this. Something like Apple making less than 15% of global units while reaping some 80% of the global profits related to said units. In this case, I weigh profits as the best manifestation of the company's position and not units produced.

Software engineering (not as a job) for data analytics and data science that help me automate information consumption.

A clock face is a timeless UI

My friends think its passion, but really I just forced the medicine down until it became habit, then a permanent fixture, and now is familiar and relaxing. I love learning new things but the "passion" idea is really just me exploring the nuanced depths of a topic I now know a lot about, and that seems to be fulfilling enough that it can masquerade as "passion" to outsiders.

They aren't all self help. Some just shook my world view so much that I couldn't help but introspect, reviewing everything I believe from a new angle. I find the experience I had with each fairly intimate. I hope others may have the same experience with any book, but think that these may do it.

1. This Is What I Talk About When I Talk About Running - Haruki Murakami

Murakami talking about his decision to become an author and also his lifelong hobby of running.

2. Let's Explore Diabetes with Owls - David Sedaris

Made me laugh for the first time in awhile.

3. The Myth of Sisyphus - Albert Camus

Absurdity.

I would like to give my 2 cents on where I see any opportunity!

A newer quant will be incentivized to create an equity strategy because the data is available and the markets are liquid. Because the equity markets have been automated for so long, a lot of the inefficiencies and arbitrage opportunities have been leveraged. If a user were to come across an opportunity, it would most likely disappear quickly, which then can lead to your strategy hemorrhaging capital.

An alternative would be to secure data feeds and invest time in less heavily traded securities, trading liquidity for reduced competition. This becomes a much scarier idea, because you may not be able to exit your positions if they slide away from you. It would generally be hard to get the right to trade these securities without large amounts of capital or a big name behind you, but this is part of your advantage.

An omnipresent underlying sense of anxiety and rage caused by something or other in my past that is useful for work but not useful for building relationships!