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Jacob is a founder of stealth research operation Alchematics, which specializes in the development of new techniques in algorithmic trading & investing utilizing machine learning, as well as a boutique brokerage. He is also Head of Data Sciences for insurer JRP Group, where he has focused on the asset side of the insurer, identifying and innovating novel algorithms and technologies which have influenced £bns of trades within a short tenure. One such learning algorithm solved a problem of greater complexity than that solved by AlphaGo at Google Deepmind and is estimated to be worth £50m to the company. Jacob has a wide and successful career at the top end of finance, from trading £0.5bn per day for Barclays in equity arbitrage strategies, to advising the UK Treasury & DMO on the largest deal in European financial history, at the height of the credit crunch. He has also been independently commissioned by Moody's Analytics to advise and share algorithmic IP with their stochastic asset modelling provider Barrie & Hibbert, after innovating algorithmic techniques to remove all model error - something not achieved by a department of PhD's. He has directed quantitative teams in Asia & Europe to develop his asset models for companies such as Mirae Asset, South Korea's largest asset manager. He has worked for or advised over 40 investment banks, asset managers, hedge funds and insurers. He specializes in the development of novel algorithms and techniques for investing and trading and believes he has started a couple of entirely new statistical learning fields fit for the 'trading paradigm' - which center around "learning about learning" - one of which is "stochastic Tsun Zu". He is currently authoring a book on Data Science and believes that good data science is the essence of good investment & trading. He will be a guest speaker at the first ever Chief Data Scientist forum in London this September.
Steven Cawiezell has established TheTradersPlan.com as a distinctively unique ETF & Growth stock newsletter that focuses on trends in the market indices. Being a former Financial Advisor at a large broker dealer (and watching portfolios crash in 2008) forced Steven to abandon "buy & hold" and create an simple ETF strategy that has averaged 64.11% per year since 2007 that anyone can follow. To watch a free training webinar where Steven shares with you the secrets to his easy to follow ETF trading system simply go to http://www.TheTradersPlan.com
On the Podcast Steven brings together trading systems experts, Professional Traders, and financial authorities to share with you how they help their clients make profitable trades and you can too.
Jacob is a founder of stealth research operation Alchematics, which specializes in the development of new techniques in algorithmic trading & investing utilizing machine learning, as well as a boutique brokerage. He is also Head of Data Sciences for insurer JRP Group, where he has focused on the asset side of the insurer, identifying and innovating novel algorithms and technologies which have influenced £bns of trades within a short tenure. One such learning algorithm solved a problem of greater complexity than that solved by AlphaGo at Google Deepmind and is estimated to be worth £50m to the company. Jacob has a wide and successful career at the top end of finance, from trading £0.5bn per day for Barclays in equity arbitrage strategies, to advising the UK Treasury & DMO on the largest deal in European financial history, at the height of the credit crunch. He has also been independently commissioned by Moody's Analytics to advise and share algorithmic IP with their stochastic asset modelling provider Barrie & Hibbert, after innovating algorithmic techniques to remove all model error - something not achieved by a department of PhD's. He has directed quantitative teams in Asia & Europe to develop his asset models for companies such as Mirae Asset, South Korea's largest asset manager. He has worked for or advised over 40 investment banks, asset managers, hedge funds and insurers. He specializes in the development of novel algorithms and techniques for investing and trading and believes he has started a couple of entirely new statistical learning fields fit for the 'trading paradigm' - which center around "learning about learning" - one of which is "stochastic Tsun Zu". He is currently authoring a book on Data Science and believes that good data science is the essence of good investment & trading. He will be a guest speaker at the first ever Chief Data Scientist forum in London this September.
Steven Cawiezell has established TheTradersPlan.com as a distinctively unique ETF & Growth stock newsletter that focuses on trends in the market indices. Being a former Financial Advisor at a large broker dealer (and watching portfolios crash in 2008) forced Steven to abandon "buy & hold" and create an simple ETF strategy that has averaged 64.11% per year since 2007 that anyone can follow. To watch a free training webinar where Steven shares with you the secrets to his easy to follow ETF trading system simply go to http://www.TheTradersPlan.com
On the Podcast Steven brings together trading systems experts, Professional Traders, and financial authorities to share with you how they help their clients make profitable trades and you can too.