Neal Pawar Is Appointed to Chief Operating Officer by Qontigo
- Pawar brings broad experience in senior technical leadership roles as well as large global operating positions in Finance.
Qontigo announced that it has appointed Neal Pawar to Chief Operating Officer, effective immediately.
In a press release shared with Finance Magnates, Neal Pawar, a highly technical and quantitative global business leader, has been named by Qontigo, a financial intelligence innovator in the modernization of investment management, as its new Chief Operating Officer.
Pawar brings broad experience in senior technical leadership roles as well as large global operating positions in Finance. In this new role, he will increase Qontigo's efforts to deliver unprecedented value and competitive advantage to clients. Further, he will use his experience to develop its plans to expand into the wealth space. Thus, he will Leverage Leverage In financial trading, leverage is a loan supplied by a broker, which facilitates a trader in being able to control a relatively large amount of money with a significantly lesser initial investment. Leverage therefore allows traders to make a much greater return on investment compared to trading without any leverage. Traders seek to make a profit from movements in financial markets, such as stocks and currencies.Trading without any leverage would greatly diminish the potential rewards, so traders need to rely on leverage to make financial trading viable. Generally, the higher the fluctuation of an instrument, the larger the potential leverage offered by brokers. The market which offers the most leverage is undoubtedly the foreign exchange market, since currency fluctuations are relatively tiny. Of course, traders can select their account leverage, which usually varies from 1:50 to 1:200 on most forex brokers, although many brokers now offer up to 1:500 leverage, meaning for every 1 unit of currency deposited by the trader, they can control up to 500 units of that same currency. For example, if a trader was to deposit $1000 into a forex broker offering 500:1 leverage, it would mean the trader could control up to five hundred times their initial outlay, i.e. half a million dollars. Likewise, if an investor using a 1:200 leveraged account, was trading with $2000, it means they would be actually controlling $400,000, i.e. borrowing an additional $398,000 from the broker. Assuming this investment rises to $402,000 and the trader closes their trade, it means they would have achieved a 100% ROI by pocketing $2000. With leverage, the potential for profit is clear to see. Likewise, it also gives rise to the possibility of losing a much greater amount of their capital, because, had the value of the asset turned against the trader, they could have lost their entire investment.FX Regulators Clamp Down on Leverage Offered by BrokersBack in multiple regulators including the United Kingdom’s Financial Conduct Authority (FCA) took material measures to protect retail clients trading rolling spot forex and contracts for difference (CFDs). The measures followed after years of discussion and the result of a study which showed the vast majority of retail brokerage clients were losing money. The regulations stipulated a leverage cap of 1:50 with newer clients being limited to 1:25 leverage. In financial trading, leverage is a loan supplied by a broker, which facilitates a trader in being able to control a relatively large amount of money with a significantly lesser initial investment. Leverage therefore allows traders to make a much greater return on investment compared to trading without any leverage. Traders seek to make a profit from movements in financial markets, such as stocks and currencies.Trading without any leverage would greatly diminish the potential rewards, so traders need to rely on leverage to make financial trading viable. Generally, the higher the fluctuation of an instrument, the larger the potential leverage offered by brokers. The market which offers the most leverage is undoubtedly the foreign exchange market, since currency fluctuations are relatively tiny. Of course, traders can select their account leverage, which usually varies from 1:50 to 1:200 on most forex brokers, although many brokers now offer up to 1:500 leverage, meaning for every 1 unit of currency deposited by the trader, they can control up to 500 units of that same currency. For example, if a trader was to deposit $1000 into a forex broker offering 500:1 leverage, it would mean the trader could control up to five hundred times their initial outlay, i.e. half a million dollars. Likewise, if an investor using a 1:200 leveraged account, was trading with $2000, it means they would be actually controlling $400,000, i.e. borrowing an additional $398,000 from the broker. Assuming this investment rises to $402,000 and the trader closes their trade, it means they would have achieved a 100% ROI by pocketing $2000. With leverage, the potential for profit is clear to see. Likewise, it also gives rise to the possibility of losing a much greater amount of their capital, because, had the value of the asset turned against the trader, they could have lost their entire investment.FX Regulators Clamp Down on Leverage Offered by BrokersBack in multiple regulators including the United Kingdom’s Financial Conduct Authority (FCA) took material measures to protect retail clients trading rolling spot forex and contracts for difference (CFDs). The measures followed after years of discussion and the result of a study which showed the vast majority of retail brokerage clients were losing money. The regulations stipulated a leverage cap of 1:50 with newer clients being limited to 1:25 leverage. Read this Term an entire spectrum of superior indices, 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, data, tools and solutions across a fully integrated platform.
Pawar’s Vocational Past
Prior to Pawar’s new appointment, he served as a member of the CAIS’ Board of Directors. He will continue to assist in the development of the leading platform for alternative investments as a Board member, advisor and investor, according to his LinkedIn profile.
Earlier on at Deutsche Bank, he took on the responsibilities of Group Chief Information Officer. From September 2019, he satisfied the requirements of the position over the course of one year.
While at AQR, Pawar was a Partner and Chief Technology Officer in the Capital Management division. Located in Greenwich, he triumphed in his duties over almost a six-year period. He led the infrastructure modernization that propelled the transformation and scaling of AQR to one of the world’s most successful hedge funds. Deutsche Börse Group acquired AQR and merged with the STOXX and DAX index businesses to create Qontigo in 2019.
Additionally, at UBS he completed his role as Managing Director and Chief Information Officer in its Wealth Management department. While in Zurich for almost three years, he took on many challenges and satisfactorily achieved them.
At D. E. Shaw and Co., he served as its Managing Director for close on eleven years. During this time, he held a variety of positions, including Global Head of Back-Office Technology.
Pawar’s first post began at UBS as Director of Rates Derivatives Technology, which progressed over six years.
A Pioneer and Transformative Innovator
Sebastian Ceria, Chief Executive Officer of Qontigo, said: “I am delighted to welcome Neal Pawar to Qontigo. Neal was a client, and we enthusiastically collaborated for many years. We share a common vision that modern technology, the cloud, open architectures and platforms, is the pathway to revolutionizing this business. And, I am confident that Neal’s broad industry experience, not to mention his track record as a pioneer and transformative innovator, will accelerate our efforts to deliver unprecedented value and competitive advantage to clients.”
“Over the course of my career, I’ve seen the commoditization of many parts of the financial technology stack. Axioma, STOXX and DAX and now Qontigo have played an important part in that evolution by building sophisticated analytics and indexing products leveraged by firms across the financial spectrum. As a computer scientist, I’m excited that the next chapter in my career has brought me to Qontigo, a data and technology pioneer, where we will continue to innovate and deliver for an expanding range of clients,” Pawar said.
Qontigo announced that it has appointed Neal Pawar to Chief Operating Officer, effective immediately.
In a press release shared with Finance Magnates, Neal Pawar, a highly technical and quantitative global business leader, has been named by Qontigo, a financial intelligence innovator in the modernization of investment management, as its new Chief Operating Officer.
Pawar brings broad experience in senior technical leadership roles as well as large global operating positions in Finance. In this new role, he will increase Qontigo's efforts to deliver unprecedented value and competitive advantage to clients. Further, he will use his experience to develop its plans to expand into the wealth space. Thus, he will Leverage Leverage In financial trading, leverage is a loan supplied by a broker, which facilitates a trader in being able to control a relatively large amount of money with a significantly lesser initial investment. Leverage therefore allows traders to make a much greater return on investment compared to trading without any leverage. Traders seek to make a profit from movements in financial markets, such as stocks and currencies.Trading without any leverage would greatly diminish the potential rewards, so traders need to rely on leverage to make financial trading viable. Generally, the higher the fluctuation of an instrument, the larger the potential leverage offered by brokers. The market which offers the most leverage is undoubtedly the foreign exchange market, since currency fluctuations are relatively tiny. Of course, traders can select their account leverage, which usually varies from 1:50 to 1:200 on most forex brokers, although many brokers now offer up to 1:500 leverage, meaning for every 1 unit of currency deposited by the trader, they can control up to 500 units of that same currency. For example, if a trader was to deposit $1000 into a forex broker offering 500:1 leverage, it would mean the trader could control up to five hundred times their initial outlay, i.e. half a million dollars. Likewise, if an investor using a 1:200 leveraged account, was trading with $2000, it means they would be actually controlling $400,000, i.e. borrowing an additional $398,000 from the broker. Assuming this investment rises to $402,000 and the trader closes their trade, it means they would have achieved a 100% ROI by pocketing $2000. With leverage, the potential for profit is clear to see. Likewise, it also gives rise to the possibility of losing a much greater amount of their capital, because, had the value of the asset turned against the trader, they could have lost their entire investment.FX Regulators Clamp Down on Leverage Offered by BrokersBack in multiple regulators including the United Kingdom’s Financial Conduct Authority (FCA) took material measures to protect retail clients trading rolling spot forex and contracts for difference (CFDs). The measures followed after years of discussion and the result of a study which showed the vast majority of retail brokerage clients were losing money. The regulations stipulated a leverage cap of 1:50 with newer clients being limited to 1:25 leverage. In financial trading, leverage is a loan supplied by a broker, which facilitates a trader in being able to control a relatively large amount of money with a significantly lesser initial investment. Leverage therefore allows traders to make a much greater return on investment compared to trading without any leverage. Traders seek to make a profit from movements in financial markets, such as stocks and currencies.Trading without any leverage would greatly diminish the potential rewards, so traders need to rely on leverage to make financial trading viable. Generally, the higher the fluctuation of an instrument, the larger the potential leverage offered by brokers. The market which offers the most leverage is undoubtedly the foreign exchange market, since currency fluctuations are relatively tiny. Of course, traders can select their account leverage, which usually varies from 1:50 to 1:200 on most forex brokers, although many brokers now offer up to 1:500 leverage, meaning for every 1 unit of currency deposited by the trader, they can control up to 500 units of that same currency. For example, if a trader was to deposit $1000 into a forex broker offering 500:1 leverage, it would mean the trader could control up to five hundred times their initial outlay, i.e. half a million dollars. Likewise, if an investor using a 1:200 leveraged account, was trading with $2000, it means they would be actually controlling $400,000, i.e. borrowing an additional $398,000 from the broker. Assuming this investment rises to $402,000 and the trader closes their trade, it means they would have achieved a 100% ROI by pocketing $2000. With leverage, the potential for profit is clear to see. Likewise, it also gives rise to the possibility of losing a much greater amount of their capital, because, had the value of the asset turned against the trader, they could have lost their entire investment.FX Regulators Clamp Down on Leverage Offered by BrokersBack in multiple regulators including the United Kingdom’s Financial Conduct Authority (FCA) took material measures to protect retail clients trading rolling spot forex and contracts for difference (CFDs). The measures followed after years of discussion and the result of a study which showed the vast majority of retail brokerage clients were losing money. The regulations stipulated a leverage cap of 1:50 with newer clients being limited to 1:25 leverage. Read this Term an entire spectrum of superior indices, 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, data, tools and solutions across a fully integrated platform.
Pawar’s Vocational Past
Prior to Pawar’s new appointment, he served as a member of the CAIS’ Board of Directors. He will continue to assist in the development of the leading platform for alternative investments as a Board member, advisor and investor, according to his LinkedIn profile.
Earlier on at Deutsche Bank, he took on the responsibilities of Group Chief Information Officer. From September 2019, he satisfied the requirements of the position over the course of one year.
While at AQR, Pawar was a Partner and Chief Technology Officer in the Capital Management division. Located in Greenwich, he triumphed in his duties over almost a six-year period. He led the infrastructure modernization that propelled the transformation and scaling of AQR to one of the world’s most successful hedge funds. Deutsche Börse Group acquired AQR and merged with the STOXX and DAX index businesses to create Qontigo in 2019.
Additionally, at UBS he completed his role as Managing Director and Chief Information Officer in its Wealth Management department. While in Zurich for almost three years, he took on many challenges and satisfactorily achieved them.
At D. E. Shaw and Co., he served as its Managing Director for close on eleven years. During this time, he held a variety of positions, including Global Head of Back-Office Technology.
Pawar’s first post began at UBS as Director of Rates Derivatives Technology, which progressed over six years.
A Pioneer and Transformative Innovator
Sebastian Ceria, Chief Executive Officer of Qontigo, said: “I am delighted to welcome Neal Pawar to Qontigo. Neal was a client, and we enthusiastically collaborated for many years. We share a common vision that modern technology, the cloud, open architectures and platforms, is the pathway to revolutionizing this business. And, I am confident that Neal’s broad industry experience, not to mention his track record as a pioneer and transformative innovator, will accelerate our efforts to deliver unprecedented value and competitive advantage to clients.”
“Over the course of my career, I’ve seen the commoditization of many parts of the financial technology stack. Axioma, STOXX and DAX and now Qontigo have played an important part in that evolution by building sophisticated analytics and indexing products leveraged by firms across the financial spectrum. As a computer scientist, I’m excited that the next chapter in my career has brought me to Qontigo, a data and technology pioneer, where we will continue to innovate and deliver for an expanding range of clients,” Pawar said.