1. 1-13 of 13
    1. 43 of the top big data companies to work for, by J.P. Morgan

      43 of the top big data companies to work for, by J.P. Morgan

      by Sarah Butcher 7 hours ago So you want to work in ‘Big Data’? But which of the growing number of Big Data companies do you want to work for? en/285249/machine-learning-and-big-data-j-p-morgan/ Two decades ago, data seemed fairly finite. There was macroeconomic data, like GDP figures and there was microeconomic data, like company reports. If you were cutting edge, you might have traded against meteorological data. Today, that’s all changed. Data has exploded.

      Read Full Article
    2. These top people won’t join J.P. Morgan. They’re working with the bank anyway

      These top people won’t join J.P. Morgan. They’re working with the bank anyway

      Not everyone is bursting to join J.P. Morgan, it seems. en/283100/best-university-course-ai-data-science-in-finance-jobs/ You might think that J.P. Morgan has no problem in attracting exemplary talent in artificial intelligence (AI) . After all, the U.S. bank successfully hired Geoffrey Zweig , a top natural language processing (NLP) scientist from Microsoft as head of global machine learning in February.

      Read Full Article
    3. The top technology teams at Goldman Sachs

      The top technology teams at Goldman Sachs

      Which are the best tech teams at Goldman Sachs? Try these. http://news.efinancialcareers.com/us-en/277487/j-p-morgan-technology/ Goldman Sachs needs ‘engineers’. As senior staff at the firm like to reiterate, Goldman is pretty much a technology firm. It operates 1.5bn lines of code, has an infrastructure with 38 petabytes (each petabyte being a thousand terabytes) of storage and makes over 16m software changes every month.

      Read Full Article
      Mentions: India New York London
    4. The 20 top data scientists in banking and finance

      The 20 top data scientists in banking and finance

      by Sarah Butcher 5 hours ago As data scientists displace rainmakers and traders as the most sought after people in finance, a new group of people hold the keys to the industry’s future. en/276419/some-of-socgens-most-senior-quants-are-now-launching-their-own-firms/ As data scientists displace rainmakers and traders as the most sought after people in finance , a new group of people hold the keys to the industry’s future.

      Read Full Article
    5. Morning Coffee: The most intelligent man at Goldman Sachs. The most unpopular man at Barclays

      Morning Coffee: The most intelligent man at Goldman Sachs. The most unpopular man at Barclays

      One of Goldman’s most longstanding partners is gaining prominence again. en/276278/marcus-schenck-deutsche-bank/ If you want to work for Goldman Sachs you won’t have to complete a numerical test. Nor will you have to achieve a first class or summa cum laude degree. Goldman doesn’t go in for any of that stuff, but were someone to conduct an IQ test in its strats group they’d unquestionably find plenty of people whose intelligence quotient far exceeds the norm.

      Read Full Article
    6. J.P. Morgan equity analyst: “Why I’m better than the machines”

      J.P. Morgan equity analyst: “Why I’m better than the machines”

      by Sarah Butcher 2 hours ago Sell-side analysts have enough to worry about, without being replaced by machines. One J.P.M analyst explains why he’s better than any algo, however. en/275775/github-open-source-hedge-fund-wes-mckinney-python/ As quant funds outperform discretionary investors on the buy-side, human researchers on the sell-side should surely be worried. – After all, who needs their carefully considered advice when an algorithm can make better sense of the market in a moment?

      Read Full Article
    7. J.P. Morgan quietly hired a global head of machine learning from Microsoft

      J.P. Morgan quietly hired a global head of machine learning from Microsoft

      The hottest new hires are not from banking. en/273126/ai-and-algorithmic-trading-in-banks/ When we spoke to Sameer Gupta, a former COO for J.P. Morgan’s global electronic equities trading business, last month, he said banks have been hiring all the wrong people for machine learning and artificial intelligence (AI) divisions. Banks’ teams have a tendency to over-complicate things and achieve nothing, said Gupta.

      Read Full Article
    8. J.P. Morgan’s ex-head of electronic trading says banks have hired all the wrong people

      J.P. Morgan’s ex-head of electronic trading says banks have hired all the wrong people

      There’s something wrong with banks’ approach to AI, says J.P. Morgan’s ex-electronic trading COO. en/273366/goldman-sachs-stem-students/ Banks' technologists don't take responsibility for actually developing products Sameer Gupta knows about electronic markets. The former COO for J.P. Morgan’s global electronic equities trading and Americas high touch and program trading business has been steeped in trade mechanization since graduating from Carnegie Mellon University in 2003.

      Read Full Article
    9. The ancient programming language that will get you an AI job in finance

      The ancient programming language that will get you an AI job in finance

      by Sarah Butcher About an hour ago Armando Gonzalez has got a problem. The CEO of Ravenpack, a company which uses artificial intelligence to turn news and social media into usable indicators for financial services firms, is struggling en/137065/the-six-hottest-programming-languages-to-know-in-banking-technology/ Armando Gonzalez has got a problem.

      Read Full Article
      Mentions: New York London Spain
    10. I gave up a burgeoning pop career to become a J.P. Morgan trader, now I’ve started a fintech firm

      I gave up a burgeoning pop career to become a J.P. Morgan trader, now I’ve started a fintech firm

      by Dan Butcher 49 minutes ago Ex-trader Rachel Mayer met her fellow Trigger Finance co-founders at a Cornell startup competition, which launched their careers as fintech entrepreneurs. http://news.efinancialcareers.com/us-en/256662/this-former-trader-left-a-prestigious-job-to-launch-a-quant-robo-adviser/ Rachel Mayer of Trigger Finance Rachel Mayer was raised in her father’s native country of Venezuela, and for a while, it looked as if she would follow in his footsteps.

      Read Full Article
    11. 7 finance firms working with AI, and why you should be afraid of them

      7 finance firms working with AI, and why you should be afraid of them

      About an hour ago These firms are putting artificial intelligence to work in financial services. Should you be afraid of them? en/267722/goldman-sachs-md-quit-12-month-residency-google-brain/ Just because one Goldman Sachs MD quit banking for an elusive residency at Google Brain , don’t assume you need to leave finance to pursue your passion for machine learning.

      Read Full Article
    12. How to become a hedge fund Python coder, by the CTO of AHL

      How to become a hedge fund Python coder, by the CTO of AHL

      by Sarah Butcher 12 minutes ago What does it take to become a software engineer for a hedge fund? Is there any point in teaching yourself how to code? Do you need to go to university? http://news.efinancialcareers.com/uk-en/264849/programming-languages-hedge-funds/ Gary Collier knows about writing software for hedge funds.

      Read Full Article
    13. One man’s journey from the U.S. Army to Morgan Stanley’s big data chief

      One man’s journey from the U.S. Army to Morgan Stanley’s big data chief

      by Dan Butcher 3 hours ago Veterans transitioning from military service to the financial services industry face challenges. Here are some tips for overcoming them. en/264737/what-the-u-s-election-means-for-your-banking-job/ Many military veterans have found success working in banking and other areas of financial services.

      Read Full Article
    1-13 of 13
  1. Categories

    1. Default:

      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD