Trading technology provider Cobalt announced on Tuesday that it has hired five new executives.
Most of the company’s new hires have some experience working in the foreign exchange markets.
The exception to that is John Fitzgerald, Cobalt’s new information security manager, who joins from asset manager Rathbone.
Fitzgerald spent 13 years at the asset manager as an information security officer.
Joining him at Cobalt will be Bob Linton. Based in the trading technology provider’s New York office, Linton spent the past 13 years at Traiana.
As Finance Magnates reported last month, Linton, who is going to be working as head of connectivity and onboarding, will become the second Traiana executive to join Cobalt.
Anoushka Rayner, a former FX specialist at Traiana, was appointed global head of sales at Cobalt last November.
New support, new analyst
Also joining the post-trade services firm is Dan Evans. A former director of FX trading at UBS, Evans also has experience running his own consultancy firm.
He joins Cobalt as product Analytics
Analytics
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Read this Term lead and will be responsible for, amongst other things, developing new solutions for the company’s customers.
Alongside Evans will be Nitin Talwar, who has been appointed as head of support by Cobalt.
Previously with Bank of America, Talwar also spent three years as Natwest’s head of currencies production support for the Asia-Pacific region.
The new head of support got his career start at Credit Suisse where he spent almost a decade, including four years in an eFX role.
Last is Kamaldeep Bhachu, who will be working as a senior business analyst at Cobalt.
Bhachu has over a decade of experience in the financial services industry and has worked for some major firms, including Morgan Stanley, UBS and Royal Bank of Canada.
“We are thrilled to welcome Bob, Dan, John, Nitin and Kameldeep to [our] rapidly expanding team,” said Cobalt managing director Darren Coote.
“They bring a breadth of FX experience across the executing broker and Prime Broker
Prime Broker
Prime brokers are the designation given to individuals handling a package of services offered by investment banks, wealth management firms, and securities dealers to hedge funds which need the ability to borrow securities and cash in order to be able to invest on a netted basis and achieve an absolute return.There are two types of prime brokers - bank and non-bank corporations. Traditionally major global investment banks have been the predominant players in the space, however recent years have proven that there is space for non-bank liquidity providers that sometimes can deliver a better service than traditional financial institutions.Prime brokers are earning on commissions, spreads and overnight margin lending. Brokers which are operating STP flows in sufficient size are the main contenders to have a direct relationship with a prime broker, while smaller firms are relying on prime of primes to access a pool of prime brokers.What Roles Do Prime Brokers Perform?Prime brokers are responsible for a wide range of services, which typically include global custody such as clearing, custody, and asset servicing. Additionally, these individuals are also tasked with securities lending and financing, in a bid to facilitate leverage of client assets.The individuals can also provide hedge fund managers with portfolio reporting needed to effectively manage money as well as operational support. Prime brokers act as a hedge fund's primary operations contact with all other broker dealers.Finally, many prime brokers also look to provide additional value-added services, such as risk management and capital introduction.Of note, larger prime brokerage firms today usually monitor the risk within client portfolios through house-designed risk-based margin methodologies. These are helpful in considering the worst-case loss of a portfolio based on liquidity, concentration, ownership, macroeconomic, investing strategies, and other risks of the portfolio.
Prime brokers are the designation given to individuals handling a package of services offered by investment banks, wealth management firms, and securities dealers to hedge funds which need the ability to borrow securities and cash in order to be able to invest on a netted basis and achieve an absolute return.There are two types of prime brokers - bank and non-bank corporations. Traditionally major global investment banks have been the predominant players in the space, however recent years have proven that there is space for non-bank liquidity providers that sometimes can deliver a better service than traditional financial institutions.Prime brokers are earning on commissions, spreads and overnight margin lending. Brokers which are operating STP flows in sufficient size are the main contenders to have a direct relationship with a prime broker, while smaller firms are relying on prime of primes to access a pool of prime brokers.What Roles Do Prime Brokers Perform?Prime brokers are responsible for a wide range of services, which typically include global custody such as clearing, custody, and asset servicing. Additionally, these individuals are also tasked with securities lending and financing, in a bid to facilitate leverage of client assets.The individuals can also provide hedge fund managers with portfolio reporting needed to effectively manage money as well as operational support. Prime brokers act as a hedge fund's primary operations contact with all other broker dealers.Finally, many prime brokers also look to provide additional value-added services, such as risk management and capital introduction.Of note, larger prime brokerage firms today usually monitor the risk within client portfolios through house-designed risk-based margin methodologies. These are helpful in considering the worst-case loss of a portfolio based on liquidity, concentration, ownership, macroeconomic, investing strategies, and other risks of the portfolio.
Read this Term space and have an intimate knowledge of the competitive landscape as well as financial institutions’ systems.”
Trading technology provider Cobalt announced on Tuesday that it has hired five new executives.
Most of the company’s new hires have some experience working in the foreign exchange markets.
The exception to that is John Fitzgerald, Cobalt’s new information security manager, who joins from asset manager Rathbone.
Fitzgerald spent 13 years at the asset manager as an information security officer.
Joining him at Cobalt will be Bob Linton. Based in the trading technology provider’s New York office, Linton spent the past 13 years at Traiana.
As Finance Magnates reported last month, Linton, who is going to be working as head of connectivity and onboarding, will become the second Traiana executive to join Cobalt.
Anoushka Rayner, a former FX specialist at Traiana, was appointed global head of sales at Cobalt last November.
New support, new analyst
Also joining the post-trade services firm is Dan Evans. A former director of FX trading at UBS, Evans also has experience running his own consultancy firm.
He joins Cobalt as product Analytics
Analytics
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Read this Term lead and will be responsible for, amongst other things, developing new solutions for the company’s customers.
Alongside Evans will be Nitin Talwar, who has been appointed as head of support by Cobalt.
Previously with Bank of America, Talwar also spent three years as Natwest’s head of currencies production support for the Asia-Pacific region.
The new head of support got his career start at Credit Suisse where he spent almost a decade, including four years in an eFX role.
Last is Kamaldeep Bhachu, who will be working as a senior business analyst at Cobalt.
Bhachu has over a decade of experience in the financial services industry and has worked for some major firms, including Morgan Stanley, UBS and Royal Bank of Canada.
“We are thrilled to welcome Bob, Dan, John, Nitin and Kameldeep to [our] rapidly expanding team,” said Cobalt managing director Darren Coote.
“They bring a breadth of FX experience across the executing broker and Prime Broker
Prime Broker
Prime brokers are the designation given to individuals handling a package of services offered by investment banks, wealth management firms, and securities dealers to hedge funds which need the ability to borrow securities and cash in order to be able to invest on a netted basis and achieve an absolute return.There are two types of prime brokers - bank and non-bank corporations. Traditionally major global investment banks have been the predominant players in the space, however recent years have proven that there is space for non-bank liquidity providers that sometimes can deliver a better service than traditional financial institutions.Prime brokers are earning on commissions, spreads and overnight margin lending. Brokers which are operating STP flows in sufficient size are the main contenders to have a direct relationship with a prime broker, while smaller firms are relying on prime of primes to access a pool of prime brokers.What Roles Do Prime Brokers Perform?Prime brokers are responsible for a wide range of services, which typically include global custody such as clearing, custody, and asset servicing. Additionally, these individuals are also tasked with securities lending and financing, in a bid to facilitate leverage of client assets.The individuals can also provide hedge fund managers with portfolio reporting needed to effectively manage money as well as operational support. Prime brokers act as a hedge fund's primary operations contact with all other broker dealers.Finally, many prime brokers also look to provide additional value-added services, such as risk management and capital introduction.Of note, larger prime brokerage firms today usually monitor the risk within client portfolios through house-designed risk-based margin methodologies. These are helpful in considering the worst-case loss of a portfolio based on liquidity, concentration, ownership, macroeconomic, investing strategies, and other risks of the portfolio.
Prime brokers are the designation given to individuals handling a package of services offered by investment banks, wealth management firms, and securities dealers to hedge funds which need the ability to borrow securities and cash in order to be able to invest on a netted basis and achieve an absolute return.There are two types of prime brokers - bank and non-bank corporations. Traditionally major global investment banks have been the predominant players in the space, however recent years have proven that there is space for non-bank liquidity providers that sometimes can deliver a better service than traditional financial institutions.Prime brokers are earning on commissions, spreads and overnight margin lending. Brokers which are operating STP flows in sufficient size are the main contenders to have a direct relationship with a prime broker, while smaller firms are relying on prime of primes to access a pool of prime brokers.What Roles Do Prime Brokers Perform?Prime brokers are responsible for a wide range of services, which typically include global custody such as clearing, custody, and asset servicing. Additionally, these individuals are also tasked with securities lending and financing, in a bid to facilitate leverage of client assets.The individuals can also provide hedge fund managers with portfolio reporting needed to effectively manage money as well as operational support. Prime brokers act as a hedge fund's primary operations contact with all other broker dealers.Finally, many prime brokers also look to provide additional value-added services, such as risk management and capital introduction.Of note, larger prime brokerage firms today usually monitor the risk within client portfolios through house-designed risk-based margin methodologies. These are helpful in considering the worst-case loss of a portfolio based on liquidity, concentration, ownership, macroeconomic, investing strategies, and other risks of the portfolio.
Read this Term space and have an intimate knowledge of the competitive landscape as well as financial institutions’ systems.”