OANDA Is Onboarding Philip Holemans as Its New Chief Financial Officer
- Philip Holemans will optimise financial performance and ensure compliance with international accounting standards.

OANDA, a retail broker with operations around the world, announced that it has onboarded Philip Holemans as its new Chief Financial Officer.
Finance Magnates recently learned in an official press release that Philip Holemans, a veteran with almost three decades of experience and twenty of those years in the financial services industry, has been named by OANDA, a global leader in online Multi-Asset Multi-Asset Composed of varying asset classes, multi-asset is a blanket designation combining different classes such bonds, equities, cash equivalents, fixed income, and alternative investments.When compared to traditional balanced funds, multi-asset solutions differ because they target specific investment outcomes. This includes outcomes such as return above inflation as opposed to gauging performance against standardized benchmarks.Given the composition of multi-asset classes, they need to be dynamically managed so that funds can continue to generate returns while keeping risk within fixed parameters. What Are Advantages or Disadvantages to Multi-Asset Investments?While multi-asset investing may better distribute risk, it should be known that a hindrance may be exerted upon potential returns.Indeed, multi-asset classes do not always perform as well as most stock funds due to containing other assets such as cash, bonds, or real estate investments. As a result, traders generally tend to gravitate towards target-date mutual funds, target allocation mutual funds, and ETFs.Multi-asset funds that fluctuate with an investor’s time scope are target-date mutual funds. Generally, target-date mutual funds run in congruence with an investor’s retirement age and are composed primarily of equities (85% to 90%) while the remaining is distributed to a money market or fixed income. Target allocation mutual funds are centered around an investor’s risk tolerance and are offered by most mutual fund companies. Equities compose between 20% to 85% of multi-asset funds and may also include international equities and bonds.Trading ETFs through contracts-for-difference (CFD) trading provides traders with a more immediate avenue to multi-asset investing with financial instruments such as precious metals, commodities, and currencies. The diversification that stems from the wake of multi-asset investing helps protect traders against unforeseen market pitfalls and volatility. However, these tend not to perform as effectively as the majority of stock funds in common years due to an allocation of assets. Composed of varying asset classes, multi-asset is a blanket designation combining different classes such bonds, equities, cash equivalents, fixed income, and alternative investments.When compared to traditional balanced funds, multi-asset solutions differ because they target specific investment outcomes. This includes outcomes such as return above inflation as opposed to gauging performance against standardized benchmarks.Given the composition of multi-asset classes, they need to be dynamically managed so that funds can continue to generate returns while keeping risk within fixed parameters. What Are Advantages or Disadvantages to Multi-Asset Investments?While multi-asset investing may better distribute risk, it should be known that a hindrance may be exerted upon potential returns.Indeed, multi-asset classes do not always perform as well as most stock funds due to containing other assets such as cash, bonds, or real estate investments. As a result, traders generally tend to gravitate towards target-date mutual funds, target allocation mutual funds, and ETFs.Multi-asset funds that fluctuate with an investor’s time scope are target-date mutual funds. Generally, target-date mutual funds run in congruence with an investor’s retirement age and are composed primarily of equities (85% to 90%) while the remaining is distributed to a money market or fixed income. Target allocation mutual funds are centered around an investor’s risk tolerance and are offered by most mutual fund companies. Equities compose between 20% to 85% of multi-asset funds and may also include international equities and bonds.Trading ETFs through contracts-for-difference (CFD) trading provides traders with a more immediate avenue to multi-asset investing with financial instruments such as precious metals, commodities, and currencies. The diversification that stems from the wake of multi-asset investing helps protect traders against unforeseen market pitfalls and volatility. However, these tend not to perform as effectively as the majority of stock funds in common years due to an allocation of assets. Read this Term trading services, currency data and 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, as its new Chief Financial Officer.
In the role, Holemans will be in charge of optimising OANDA’s financial performance, ensuring compliance with international accounting standards and assisting directly with OANDA’s growth strategy.
A Chronicle of Holemans’ Career
Prior to the new position with OANDA, Holemans served WiZink also as its Chief Financial Officer. Located in Madrid, he fulfilled the duties of the role between March 2019 and April 2020, according to his LinkedIn profile.
Earlier to his experience at WiZink, MONETA Money Bank (previously GE Capital) recruited him as the Chief Financial Officer and Vice Chairman of the Board. For almost three years, he led a team of 120 professionals and was a partner to the CEO driving change, performance and operational excellence.
Before GE Capital changed its name to MONETA, he held a similar position as the Chief Financial Officer of GE Money Bank for around two and a half years. He received a promotion in early 2014 from his earlier role of Chief Financial Officer for Germany and Benelux.
At Stanley Europe, Holemans became the European Supply Chain Controller in March 2002. Over the course of seventeen months, he increased predictability of financial results and compliance for the tax-driven European supply chain structure among other responsibilities.
Previously at GE Fleet Services Europe, he took on the charge of Financial Systems & Project Implementation Leader. For around four years, he standardised and simplified financial processes across Europe with one common chart of accounts and closing process among many other duties.
Also, at IMS Health, he served as the Senior FP&A Analyst IMS International from late 1996 to early 1998.
Further, Caradon Stelrad employed him as a Business Analyst of Caradon Belgium. The responsibilities included weekly sales & production reporting to local management and monthly management reporting to corporate. Moreover, he coordinated annual stock takes & implemented stock valuation tools.
His earliest known position of employment was European Finance Assistant at Johnson Controls Europe. From August 1993, he implemented a new accounting package and was responsible for the day-to-day accounting for European HQ.
Identify and Implement New Strategies
“Philip brings with him significant expertise within the financial services industry. His in-depth knowledge of financial planning and analysis, mergers and acquisitions, and corporate development will be invaluable as we continue on our journey to becoming one of the largest multi-asset brokers in the world. We’re delighted to welcome him to the firm,” said Chief Executive Officer of OANDA, Gavin Bambury.
“I'm very much looking forward to working with the OANDA team, helping to identify and implement new strategies that will continue to improve efficiencies, increase profitability and further drive the growth of the business,” Holemans added.
OANDA, a retail broker with operations around the world, announced that it has onboarded Philip Holemans as its new Chief Financial Officer.
Finance Magnates recently learned in an official press release that Philip Holemans, a veteran with almost three decades of experience and twenty of those years in the financial services industry, has been named by OANDA, a global leader in online Multi-Asset Multi-Asset Composed of varying asset classes, multi-asset is a blanket designation combining different classes such bonds, equities, cash equivalents, fixed income, and alternative investments.When compared to traditional balanced funds, multi-asset solutions differ because they target specific investment outcomes. This includes outcomes such as return above inflation as opposed to gauging performance against standardized benchmarks.Given the composition of multi-asset classes, they need to be dynamically managed so that funds can continue to generate returns while keeping risk within fixed parameters. What Are Advantages or Disadvantages to Multi-Asset Investments?While multi-asset investing may better distribute risk, it should be known that a hindrance may be exerted upon potential returns.Indeed, multi-asset classes do not always perform as well as most stock funds due to containing other assets such as cash, bonds, or real estate investments. As a result, traders generally tend to gravitate towards target-date mutual funds, target allocation mutual funds, and ETFs.Multi-asset funds that fluctuate with an investor’s time scope are target-date mutual funds. Generally, target-date mutual funds run in congruence with an investor’s retirement age and are composed primarily of equities (85% to 90%) while the remaining is distributed to a money market or fixed income. Target allocation mutual funds are centered around an investor’s risk tolerance and are offered by most mutual fund companies. Equities compose between 20% to 85% of multi-asset funds and may also include international equities and bonds.Trading ETFs through contracts-for-difference (CFD) trading provides traders with a more immediate avenue to multi-asset investing with financial instruments such as precious metals, commodities, and currencies. The diversification that stems from the wake of multi-asset investing helps protect traders against unforeseen market pitfalls and volatility. However, these tend not to perform as effectively as the majority of stock funds in common years due to an allocation of assets. Composed of varying asset classes, multi-asset is a blanket designation combining different classes such bonds, equities, cash equivalents, fixed income, and alternative investments.When compared to traditional balanced funds, multi-asset solutions differ because they target specific investment outcomes. This includes outcomes such as return above inflation as opposed to gauging performance against standardized benchmarks.Given the composition of multi-asset classes, they need to be dynamically managed so that funds can continue to generate returns while keeping risk within fixed parameters. What Are Advantages or Disadvantages to Multi-Asset Investments?While multi-asset investing may better distribute risk, it should be known that a hindrance may be exerted upon potential returns.Indeed, multi-asset classes do not always perform as well as most stock funds due to containing other assets such as cash, bonds, or real estate investments. As a result, traders generally tend to gravitate towards target-date mutual funds, target allocation mutual funds, and ETFs.Multi-asset funds that fluctuate with an investor’s time scope are target-date mutual funds. Generally, target-date mutual funds run in congruence with an investor’s retirement age and are composed primarily of equities (85% to 90%) while the remaining is distributed to a money market or fixed income. Target allocation mutual funds are centered around an investor’s risk tolerance and are offered by most mutual fund companies. Equities compose between 20% to 85% of multi-asset funds and may also include international equities and bonds.Trading ETFs through contracts-for-difference (CFD) trading provides traders with a more immediate avenue to multi-asset investing with financial instruments such as precious metals, commodities, and currencies. The diversification that stems from the wake of multi-asset investing helps protect traders against unforeseen market pitfalls and volatility. However, these tend not to perform as effectively as the majority of stock funds in common years due to an allocation of assets. Read this Term trading services, currency data and 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, as its new Chief Financial Officer.
In the role, Holemans will be in charge of optimising OANDA’s financial performance, ensuring compliance with international accounting standards and assisting directly with OANDA’s growth strategy.
A Chronicle of Holemans’ Career
Prior to the new position with OANDA, Holemans served WiZink also as its Chief Financial Officer. Located in Madrid, he fulfilled the duties of the role between March 2019 and April 2020, according to his LinkedIn profile.
Earlier to his experience at WiZink, MONETA Money Bank (previously GE Capital) recruited him as the Chief Financial Officer and Vice Chairman of the Board. For almost three years, he led a team of 120 professionals and was a partner to the CEO driving change, performance and operational excellence.
Before GE Capital changed its name to MONETA, he held a similar position as the Chief Financial Officer of GE Money Bank for around two and a half years. He received a promotion in early 2014 from his earlier role of Chief Financial Officer for Germany and Benelux.
At Stanley Europe, Holemans became the European Supply Chain Controller in March 2002. Over the course of seventeen months, he increased predictability of financial results and compliance for the tax-driven European supply chain structure among other responsibilities.
Previously at GE Fleet Services Europe, he took on the charge of Financial Systems & Project Implementation Leader. For around four years, he standardised and simplified financial processes across Europe with one common chart of accounts and closing process among many other duties.
Also, at IMS Health, he served as the Senior FP&A Analyst IMS International from late 1996 to early 1998.
Further, Caradon Stelrad employed him as a Business Analyst of Caradon Belgium. The responsibilities included weekly sales & production reporting to local management and monthly management reporting to corporate. Moreover, he coordinated annual stock takes & implemented stock valuation tools.
His earliest known position of employment was European Finance Assistant at Johnson Controls Europe. From August 1993, he implemented a new accounting package and was responsible for the day-to-day accounting for European HQ.
Identify and Implement New Strategies
“Philip brings with him significant expertise within the financial services industry. His in-depth knowledge of financial planning and analysis, mergers and acquisitions, and corporate development will be invaluable as we continue on our journey to becoming one of the largest multi-asset brokers in the world. We’re delighted to welcome him to the firm,” said Chief Executive Officer of OANDA, Gavin Bambury.
“I'm very much looking forward to working with the OANDA team, helping to identify and implement new strategies that will continue to improve efficiencies, increase profitability and further drive the growth of the business,” Holemans added.