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Ask HN: Who wants to be hired? (October 2019)

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Re: Ask HN: Who wants to be hired? (October 2019)

#181
post #173
post #172

Earlier quoted context omitted.

Not the person you asked, but I might be able to help - what are you hoping to learn? How to build automated strategies, how execution algos work, how the market works, etc?

I suppose the problem really is that I don't know, just that it interests me and that the field I do know more about does actually have quite an overlap, but pretty much none of my knowledge is in the intersection, st least as far as I know. On the financial side I've only ever read things like the Economist, FT, consumer investment stuff. I'm keen to try a more quantitative/engineering textbook, but I'm naïve even o…

Then I can mention some recommendations (in no particular order):

* https://www.goodreads.com/en/book/show/7346602-algorithmic-t... Really dry (and thick) book, but it's comprehensive in its treatment of execution algos. This was written by a guy who worked on the sellside, so this is written in the context of receiving large orders from buyside clients and trying to execute them efficiently and with minimal market impact. There's an overview here: http://www.algo-dma.com/2007/12/overview.html

Main criticism is that it's kind of a dated book, but the fundamentals (how to benchmark, dealing with multiple venues) are still relevant.

* Robert Carver's books and blog: https://qoppac.blogspot.com/p/about-me.html His background is a buyside algo trader whos' now retired. Mostly focuses on futures, still trades on his own account. I'd say his books are entry-level, but they have one big useful rule - keep your system simple and be paranoid about overfitting your parameters.

* Not algo stuff, but more financial, Matt Levine's Money Stuff column in bloomberg is a joy to read: https://www.bloomberg.com/opinion/authors/ARbTQlRLRjE/matthe...

* AQR's Asness writes some interesting stuff: https://www.aqr.com/Insights/Perspectives The main caveat there is that he has a vested interest in pushing for smart beta, as that is AQR's bread-and-butter. Still, clever guy making interesting points.

For relaxed (and arguably information-free) reading, you can look at: Flash Boys - Main criticism here is that the book is arguably PR for the IEX, so they paint HFTs in an almost exclusively negative light. So take that with a big grain of salt. Still, nice book to get some context about the HFT world. More Money Than God - super naff title, but ok read; covers the stories of various successful fund managers, especially in the algo space.

As a final thought, I'd say, the quant space is really opaque (and still changing fast even today) and largely misunderstood by outsiders. I find that academics, reporters and pop-culture authors usually get things quite wrong. Insiders, like Asness and Carver know more, but sometimes have vested interests in selling you something. There are a lot of books on Amazon about "systematic investing" and most of them are thin on substance or, even worse, just wrong.

Re: Ask HN: Who wants to be hired? (October 2019)

#182
post #164

Location: Palo Alto, CA / San Francisco Bay Area Remote: Yes Willing to relocate: No Role: Software Engineer && Data Scientist Technologies: C++17, C, Python, R Within the last decade I: - Was the first software engineer/data engineer at a successful wearables startup that was acquired and ended up evaluated at over a billion dollars. - Developed timeseries algorithms for classification projects that is key to the co…

(I'm not in a position to hire so sorry to digress but) Are there any good texts you can recommend for quantitative finance, 'for engineers' sort of thing? I studied engineering (EE / CS) and am interested (in a non-work sense) in finance / economics, but haven't read anything that bridges the gap and don't know where to start.

Quantitative finance is a field that takes from many different topics and combines them, so one way to start instead of studying the field directly it helps to learn a handful of different subjects slowly over time.

Most people start with basic programming and basic stock market indicators. Many people start by hacking together some python scripts using some framework and then backtesting to see if their assumptions are correct.

On the more advanced level there is C++, CUDA, and Rust, and similar tech that needs to be fast. When developing a custom algo for an NP problem, you need a lot of speed. On this front, auditing MIT's old Artificial Intelligence class might be a good place to start, which goes over how to optimize NP algorithms and builds up the thought process of how to automate difficult problems. https://www.youtube.com/watch?v=TjZBTDzGeGg&list=PLUl4u3cNGP...

Writing a bot that plays the stock market when boiled down is either 1) pattern matching the market, having a hypothesis, and then writing some code to test that hypothesis or 2) writing a machine that pattern matches for you, finding meta-patterns of sorts. Is closer to Data Science and machine learning.

Quantitative finance can be as simple as what is often done in Data Science work. That is, hacking together some python scripts and testing your assumption, or it can be as complex as being an expert C++ programmer and building up a custom system, combining Software Engineering and Data Science.

Furthermore, in the DS world there is a lot of research at places like https://arxiv.org/ like an existing path of half-solutions that can be applied, tested, and verified. In the Quant world, information is private, so you don't get that luxury. Likewise, most models in the DS world don't work in the Quant world, for at least two reasons: 1) Most machine learning today isn't timeseries based. Eg, a self driving car may frame by frame identify what is in each picture, but it doesn't do a good job retaining data in the larger scene making it difficult to use standard machine learning to solve problems in the financial market. and 2) Most machine learning algos are based on floating point numbers and approximations. When dealing with money you need perfect precision, so even if there is the perfect machine learning library, you might end up writing your own version.

Eh, I'm probably rambling a bit too much here. Either way, quant finance is tons of fun! Also, I've only done projects independently, so I have no idea how different my approaches are to the industry.

Also, another field that might help is DSP, though I admit it's something I don't know enough about, so I can't say with absolute certainty how much it would help.

And of course, there is understanding how the market works itself. This often involves getting your feet wet, usually by paper trading. For many this means learning option trading.

Re: Ask HN: Who wants to be hired? (October 2019)

#183
post #173
post #172

Earlier quoted context omitted.

Not the person you asked, but I might be able to help - what are you hoping to learn? How to build automated strategies, how execution algos work, how the market works, etc?

I suppose the problem really is that I don't know, just that it interests me and that the field I do know more about does actually have quite an overlap, but pretty much none of my knowledge is in the intersection, st least as far as I know. On the financial side I've only ever read things like the Economist, FT, consumer investment stuff. I'm keen to try a more quantitative/engineering textbook, but I'm naïve even o…

A nice course to get started in quant finance is Udacity's AI for Trading[1]. It covers factor models, with a specific focus on equities.

[1]https://www.udacity.com/course/ai-for-trading--nd880

Re: Ask HN: Who wants to be hired? (October 2019)

#184
Location: London / Paris

Remote: Yes

Willing to relocate: unlikely

Suitable roles : Lead DevOps/SRE, Head of Infrastructure, Systems architect, CTO/co-founder, advisor/consultant/mentor

Technologies: Kubernetes/"cloud native" ecosystem, AWS, Google Cloud, Linux/Unix, OS + networking fundamentals, Python, Bash, C... many others, all the way down to Assembly.

Résumé/CV: https://www.linkedin.com/in/renaudguerin

Email: jobs at renaudguerin.net

I'm a senior technologist and engineer with a breadth of experience (15+ years as SRE / DevOps / Systems architect, 20+ years Linux user, even longer as a programmer !). My core technical skillet is in infra/DevOps, but over time I've been involved in most aspects of architecting, building, running and scaling online services. Very interested in the business / product areas as well.

I was one of the first 5-6 Facebook SRE hires in Europe (2010-2011), have experience at numerous startups and before that in larger orgs in the ISP/hosting world.

Happy to provide both technical vision/leadership and hands-on engineering contributions.

Available mainly as a contractor/consultant (part time or short term projects welcome)

I will consider full time employment for exciting principal roles (co-founder / CTO / VP Eng / Head of Infrastructure) at early stage startups.

No generic vanilla DevOps roles from recruiters please (I get plenty of those on LinkedIn already) !

First time posting here, I'm curious to connect with fellow HNers in London and beyond !

Re: Ask HN: Who wants to be hired? (October 2019)

#185
Location: Boston, MA

Remote: Yes

Willing to relocate: Yes

Technologies: Common Lisp, Python, Linux, git (some knowledge of rust, and C)

Github: github.com/Duderichy

LinkedIn: https://www.linkedin.com/in/richard-bibeault-355512159/

Resume: see LinkedIn, and message me their, or email me for a copy.

Email: RichardMBibeault@gmail.com

I WILL BE IN THE BAY AREA the 21st - 25th, and have interviews scheduled on the 22nd and 24th, but am looking to interview on the 21st, 23rd, and 25th.

I passed the triplebyte interview.

Physics major (Bachelors of Science) turned software developer. Closing one year as a backend developer at a common lisp shop. Looking to move to a linux based company. (macOS as workstation computer/laptops is great too!). Avid learner, currently finish up Designing Data Intensive applications.

Would be glad to work at a company that uses a functional language, such as Haskell, especially if they don't expect new employees to come in already knowing the language.

Ambitious: only been at the company a year and spent a significant amount of time this summer directing an intern, overhauled the build system the company uses internally (set up jenkins over previous system).

Re: Ask HN: Who wants to be hired? (October 2019)

#186

Location: India Remote: Sure Willing to relocate: Yes Technologies: ReactJs, VueJs, Django, DRF, GraphQl Resume/CV: https://drive.google.com/file/d/11FfJkFJJlSIiOTNFEHmEspbb1AX... Email: er.adi2612@gmail.com

Seems like you're still studying. Are you looking for full time opportunities or internship..??

Re: Ask HN: Who wants to be hired? (October 2019)

#187
Location: Indonesia (UTC+8)

Remote: Yes

Willing to relocate: No

Technologies: Ruby on Rails, Sidekiq, Redis, MySQL, PostgreSQL, PostGIS, AWS, GCP, Stimulus, React, RSpec, Capybara, Cucumber, Linux, Git

Résumé/CV: https://www.linkedin.com/in/ukazap/

Email: hello [at] ukazap [dot] space

---

Ruby web developer with 3 years of experience. I've worked as a full-stack developer (generalist) for 2 years, then shifted towards the back-end. I've built APIs, a reporting module for Indonesia's no. 1 accounting SaaS, and a location-based search engine for a bike rental app.

Interested in a full-time backend position at a company with a good engineering culture (at least 8/12 in The Joel Test).

Re: Ask HN: Who wants to be hired? (October 2019)

#188
Location: Salt Lake City

Remote: Preferred

Willing to relocate: No, thank you

Technologies: Python, Django, REST, Data Engineering (Kafka, Airflow)

Resume: https://farischebib.is/static/resume.pdf

Email: faris [at] theluckybead.com

I head the Salt Lake City Python meetup and have 10+ years of Python / Django experience.

Re: Ask HN: Who wants to be hired? (October 2019)

#189
Location: Salt Lake City, UT Remote: Yes Willing to relocate: Yes Technologies: Python, C/C++, Java Résumé/CV: https://www.linkedin.com/in/tristan-mayfield-225909173/ Email: mayfieldtristan at gmail

Graduating from a Master's of Software Development in December. Work experience and interest in security research (offensive and defensive) and network monitoring solutions.

Re: Ask HN: Who wants to be hired? (October 2019)

#190

Location: India (Nationality) - UK - East Coast US Remote: Yes (Preferred) Willing to relocate: Yes Technologies: Product Management, Product Design, UX Design, Growth and Content Résumé/CV: Available on request Email: anmol@17a.in Looking for: Product Manager role, but I like helping with UX and Product Design too I'm a CS Grad turned Product Guy, currently working with a NYC based startup as their first and only pr…

Are you currently based out of India. Open to working out of Mumbai..??
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