Quantitative analyst

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  1. Those working in the field are quantitative analysts (or, in financial jargon, a quant).[1]
  2. Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management, algorithmic trading and investment management.[1]
  3. In sales and trading, quantitative analysts work to determine prices, manage risk, and identify profitable opportunities.[1]
  4. An MV quantitative analyst would typically earn a fraction of quantitative analysts in other groups with similar length of experience.[1]
  5. Activist investors have long employed big data, a team of quants and high-speed computers to find vulnerable boards to bully and cajole into changing strategy.[2]
  6. Elsewhere within Point72, Mr. Cohen has tried to blend quant and fundamental approaches.[2]
  7. Here’s what one of the world’s top quants has to say about how robots are taking over global financial markets, and his great hopes for the technology.[2]
  8. One quantitative analyst, or quant, estimates the failure rate in live tests at about 90%.[2]
  9. Quantitative analysts design and implement complex models that allow financial firms to price and trade securities.[3]
  10. In the "back office," quants validate the models, conduct research, and create new trading strategies.[3]
  11. Quantitative analyst positions are found almost exclusively in major financial centers with trading operations.[3]
  12. Clearly, you need to have "the right stuff" to be a quantitative analyst.[3]
  13. At the back end, quant trading also involves research work on historical data with an aim to identify profit opportunities.[4]
  14. Quant trading is widely used at individual and institutional levels for high frequency, algorithmic, arbitrage and automated trading.[4]
  15. A quant trader may work for a small, mid or large size trading firm for a handsome salary with high bonus payouts based on the generated trading profits.[4]
  16. A quant trader’s job is a continuous and rigorous process with lengthy working hours.[4]
  17. First of all, most quants working in IB, prop trading, and hedge funds only have bachelor degrees.[5]
  18. You think that Masters and PhDs prepare you well for quant jobs?[5]
  19. My mentor, hedge fund manager of a systematic fund, hired a guy with 1 Bachelor, 2 Masters, and 1 PhD (top 30 university in the world & STEM major in all degrees) for the role of quantitative analyst.[5]
  20. The “quants” have the detailed know-how, and working closely with the right ones is key.[6]
  21. Analytics are a competitive necessity nowadays, but hiring “quants” who can manipulate big data successfully is not enough.[6]
  22. “I don’t know why we didn’t get the mortgages off our books,” a senior quantitative analyst at a large U.S. bank told me a few years ago.[6]
  23. The producers are the quants whose analyses and models you’ll integrate with your business experience and intuition as you make decisions.[6]
  24. Appreciated by quantitative analysts and developers, it is intended for academics and practitioners alike, eventually promoting a stronger interaction between them.[7]
  25. Quant does not own any machines, generators, pumps, or motors, nor does it sell any OEM equipment.[8]
  26. Quant layers in processes, management and in-depth knowledge of industry-wide performance to reach the mutually determined goals – or KPIs – in the agreement.[8]
  27. Quant clients frequently propose a bonus model – usually based on safety and technical availability – to incentivize efficiency.[8]
  28. He argues that the original sin of quants like him is mining historical data for clues to what works in the long run, but glossing over the fact that market regimes come and go.[9]
  29. “At their core, quant funds try to apply backtests to future investment decisions.[9]
  30. However, it is clear that quants on the whole are having a bad time.[9]
  31. Weighted by assets, the average quant hedge fund lost 5.7 per cent in the year to end of August, compared with the average hedge fund’s 5.2 per cent gain, according to Aurum Fund Management.[9]
  32. Typically, quants design complex mathematical models for use in securities trading.[10]
  33. Essentially, any area that requires quantitative analysis might employ a quant.[10]
  34. The terms “crypto” and “quant” seem to go perfectly together.[11]
  35. Being a completely digital asset class, crypto seems like the perfect target for quant models.[11]
  36. Despite the attractive characteristics of crypto assets for quant strategies, crypto poses unique challenges for quant models and the reality is that most quant strategies in crypto fail.[11]
  37. By claiming that most quant strategies in crypto fail, I am referring mostly to machine learning strategies.[11]
  38. In order to remove emotion from stock investing, computer algorithms have been developed, commonly called " quants .[12]

소스

  1. ↑ 1.0 1.1 1.2 1.3 Quantitative analysis (finance)
  2. ↑ 2.0 2.1 2.2 2.3 Definition of Quant by Merriam-Webster
  3. ↑ 3.0 3.1 3.2 3.3 Quants: The Rocket Scientists of Wall Street
  4. ↑ 4.0 4.1 4.2 4.3 Quants: What They Do and How They've Evolved
  5. ↑ 5.0 5.1 5.2 You don't need a PhD to become a quant : algotrading
  6. ↑ 6.0 6.1 6.2 6.3 Keep Up with Your Quants
  7. ↑ QuantLib, a free/open-source library for quantitative finance
  8. ↑ 8.0 8.1 8.2 Quant Transforms Factory Service With Digital Transformation Maintenance
  9. ↑ 9.0 9.1 9.2 9.3 A terrible, horrible, no-good year for quants
  10. ↑ 10.0 10.1 What is quant (quantitative analyst)?
  11. ↑ 11.0 11.1 11.2 11.3 Jesus Rodriguez: 10 Reasons Why Quant Strategies for Crypto Fail
  12. ↑ quant

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