plus tard

Quantitative financial trading is one of the highest paying parts of the world’s highest paying industry. 25 to 30 year olds with outstanding maths skills can earn millions a year in an obscure set of ‘quant trading’ firms, where they program computers with predefined algorithms to allow them to trade very quickly and effectively. 

Update: we're headhunting people for quant trading roles 
 
Want to be kept up to date about particularly promising roles we're aware of for earning to give in quantitative finance? <a href="https://80000hours.typeform.com/to/JiDHyM?int_campaign=blog-post__agb-interview" title="" class="btn btn-primary">Get notified by letting us know here.</a> 

This makes it an attractive place to work for people who want to ‘earn to give’, and we know several people who are able to donate over a million dollars a year to effective charities by working in quant trading. Who are these people? What is the job like? And is there a risk that their work harms the world in other ways? 

<a href="https://80000hours.org/2017/08/the-life-of-a-quant-trader-how-to-earn-and-donate-millions-within-a-few-years/?utm_campaign=podcast__agb&utm_source=80000+Hours+Podcast&utm_medium=podcast">Apply for personalised coaching, see what questions are asked when, and read extra resources to learn more.</a> 

I spoke at length with Alexander Gordon-Brown, who has worked as a quant trader in London for the last three and a half years and donated hundreds of thousands of pounds. We covered: 

* What quant traders do and how much they earn. 
* Whether their work is beneficial or harmful for the world. 
* How to figure out if you’re a good personal fit for quant trading, and if so how to break into the industry. 
* Whether he enjoys the work and finds it motivating, and what other careers he considered. 
* What variety of positions are on offer, and what the culture is like in different firms. 
* How he decides where to donate, and whether he has persuaded his colleagues to join him. 

Want to earn to give for effective charities in quantitative trading? We want to help. 
 
We’ve helped dozens of people plan their earning to give careers, and put them in touch with mentors. If you want to work in quant trading, apply for our free coaching service. 

<a href="https://80000hours.org/coaching/?utm_campaign=podcast__agb&utm_source=80000+Hours+Podcast&utm_medium=podcast" title="" class="btn btn-primary">APPLY FOR COACHING</a> 

What questions are asked when? 

1m30s - What is quant trading and how much do they earn? 
4m45s - How do quant trading firms manage the risks they face and avoid bankruptcy? 
7m05s - Do other traders also donate to charity and has Alex convinced them? 
9m45s - How do they track the performance of each trader? 
13m00s - What does the daily schedule of a quant trader look like? What do you do in the morning, afternoon, etc? 
<a href="https://80000hours.org/2017/08/the-life-of-a-quant-trader-how-to-earn-and-donate-millions-within-a-few-years/?utm_campaign=podcast__agb&utm_source=80000+Hours+Podcast&utm_medium=podcast">More...</a>

#5 - Alex Gordon-Brown on how to donate millions in your 20s working in quantitative trading

If you want to improve the world as much as possible, what should you do with your career? Should you become a doctor, an engineer or a politician? Should you try to end global poverty, climate change, or international conflict? These are the questions that the research group, 80,000 Hours tries to answer. They try to figure out how individuals can set themselves up to help as many people as possible in as big a way as possible.

To learn more about their research, Ariel invited Rob Wiblin and Brenton Mayer of 80,000 Hours to the FLI podcast. In this podcast we discuss "earning to give", building career capital, the most effective ways for individuals to help solve the world's most pressing problems -- including artificial intelligence, nuclear weapons, biotechnology and climate change. If you're interested in tackling these problems, or simply want to learn more about them, this podcast is the perfect place to start.

80,000 Hours with Rob Wiblin and Brenton Mayer

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How are we to make progress on AI alignment given moral uncertainty?  What are the ideal ways of resolving conflicting value systems and views of morality among persons? How ought we to go about AI alignment given that we are unsure about our normative and metaethical theories? How should preferences be aggregated and persons idealized in the context of our uncertainty? 

Moral Uncertainty and the Path to AI Alignment with William MacAskill is the fifth podcast in the new AI Alignment series, hosted by Lucas Perry. For those of you that are new, this series will be covering and exploring the AI alignment problem across a large variety of domains, reflecting the fundamentally interdisciplinary nature of AI alignment. Broadly, we will be having discussions with technical and non-technical researchers across areas such as machine learning, AI safety, governance, coordination, ethics, philosophy, and psychology as they pertain to the project of creating beneficial AI. If this sounds interesting to you, we hope that you will join in the conversations by following us or subscribing to our podcasts on Youtube, SoundCloud, or your preferred podcast site/application.

If you're interested in exploring the interdisciplinary nature of AI alignment, we suggest you take a look here at a preliminary landscape which begins to map this space.

In this podcast, Lucas spoke with William MacAskill. Will is a professor of philosophy at the University of Oxford and is a co-founder of the Center for Effective Altruism, Giving What We Can, and 80,000 Hours. Will helped to create the effective altruism movement and his writing is mainly focused on issues of normative and decision theoretic uncertainty, as well as general issues in ethics.

Topics discussed in this episode include:

-Will’s current normative and metaethical credences
-The value of moral information and moral philosophy
-A taxonomy of the AI alignment problem
-How we ought to practice AI alignment given moral uncertainty
-Moral uncertainty in preference aggregation
-Moral uncertainty in deciding where we ought to be going as a society
-Idealizing persons and their preferences
-The most neglected portion of AI alignment

AIAP: Moral Uncertainty and the Path to AI Alignment with William MacAskill

New episodes no longer on SoundCloud, please go subscribe on a podcast app or here: https://80000hours.org/podcast/

#5 - Alex Gordon-Brown on how to donate millions in your 20s working in quantitative trading

The 80,000 Hours Podcast with Rob Wiblin

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