WEEKLY DIGEST 2014, November 09 - 16 for Quantitative Analysis, Trading and Development

WEEKLY DIGEST 2014, November 09 - 16 for Quantitative Analysis, Trading and Development

20 November 2014, 12:11
Sergey Golubev
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Quants: What They Do and How They've Evolved.

Quantitative Trading involves the use of computer algorithms and programs based on simple or complex mathematical models to identify and capitalize on available trading opportunities. At the back end, quant trading also involves research work on historical data with an aim to identify profit opportunities. Quant trading is widely used at individual and institutional levels for high frequency, algorithmic, arbitrage and automated trading. Traders involved in such quantitative analysis and related trading activities are commonly known as quants or quant traders.  

Motivation for Quants. (4) Australian Job Recruitment Process for Quants Explained. "So, you think you tick off all the boxes?! Think again!! You gained your university degree, even a PhD! The statistics is your second nature. You spent last 10+ years conducting quantitative analysis for several companies that employed statistical analysis on the daily basis but, unfortunately, you have not been using SAS (a dedicated compiled Microsoft Windows-based statistical software) — you are not qualified for a job."

Can A Quant Make A Fruit Salad. "I describe myself in my LinkedIn profile as a "left and right brained modeler of quantitative investment systems." While the left and right brained metaphor may not be entirely technically correct, people generally get the idea. Watch out for black boxes!"

How the Web Summit used data scientists and physicists to scale from 400 to 22,000 people.

For all the big names and conversations at the Web Summit in Dublin this week, the most interesting thing about the event was the Web Summit itself. Virtually every attendee could recite the following statistics: The Summit has grown from 400 attendees in its first year to 22,000 in its fourth year. Much of the conversation at the Summit revolved around how big it had grown in such a short time — and whether or not that was a good thing.

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