Description of the company

Radix Trading is a royal company that focuses on quantitative research and scientific circulation. We are one of the most active liquidity providers in the world’s electronic exchanges, and they have benefited from the culture of effective cooperation to expand our ideas and frequency of repetition, without the need to expand the number of employees. We work in Chicago, New York and Amsterdam.

In our industry, the vast majority of ideas will fail. Therefore, since its inception, we focused on the continuous improvement of our automated research platform and advanced technology, allowing us to fail faster than the previous day, visions of every idea, and benefit from individual contributions to the fullest through our entire organization.

We are led by Ben Blander and Michael Rothsman.

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Ben Blander – former head of the high frequency group in the castle and a major contributor to the development of P&L of $ 75 million in 2005 $ 1.15 billion in 2008. In the past, Ben obtained a doctorate in mathematics (algebraic topology under Peter May) from the University of Chicago.

Michael Rothsman – formerly at Getco’s CTO, the head of the American shares, and the global head of Forex. As a practical leader, Michael has been a key role in developing many trading strategies as well as architecture and basic symbol.

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Why trading?

If you want to get medium reactions to your best thoughts, taking advantage of advanced technology, it is difficult to overcome the trading industry. Every day we compete with some of the smartest people who are trying in the world to take our money – and if we are not at the top of our game in research, technology and economics, they will do that.

Although the highly overcome wave of high -frequency trading or “flash” based on the huge speed of implementation may have reached the maximum, we see continuous opportunities with our strategy of using statistical research to excel the competition.

Job title

As a quantitative researcher, your focus is on selecting trading opportunities, but you can add more value with strong amount skills and some coding efficiency to accelerate the innovation process and help others benefit from your work.

During your biography, you will gain new knowledge and insight into the basics of market dynamics, trading strategies, and our research platform.

While attention to trading is the key, the background in financing is definitely not. Our team was mostly built from the academic circles – professors, postdocs, and doctorate – not from other commercial companies. We are looking for mental diversity and add a selection of academics every year from a wide range of specialties.

Compensation – competitive salary, in addition to the quarterly reward based on individual performance and contributing to the success of others and the company.

Qualifications

We are looking for very analytical people (mathematics, physics, computer science, statistics, electrical engineering, etc.) who want to help build a trading company that relies on future research. To do this, you will need the following qualities:

> The constant motive for improvement – do you have an innate desire to rise to the next level, even after the great achievement? Our employees have succeeded in their academic life and joined Radix to achieve more effect.

> Solving creative problems and probability thinking – You must enjoy learning and implement new concepts quickly, combine knowledge from various areas to create new ideas, and take a possible approach to data in testing and implementing new ideas.

> The team’s mentality – we want people who understand 1+1> 2 and commit to making the team better by sharing ideas while leading to improve their individual performance.

> Mental flexibility and self -awareness – you will have to adapt repeatedly based on new data, results and reactions on trading ideas and performance.

> Guidance to earn money – although we appreciate academic training, our work is not an academic exercise. We follow the infiltrator’s approach to testing ideas, dropping projects that consume time without high height, and focus our following efforts on what will create the greatest value of the company.

Research / quantity strategy skills to develop or develop

> Strong intuition and deep thinking with data collections – designing the new alphas, understands complex systems; He knows where to start, or ask others from where to start

> It shows the strong ability of “piracy” to quickly enter the data to search for experimental relationships and decipher noise or signal

> Introduction with classic statistical methods and you know when and how to apply them in a strict way; Easily learn how to apply new statistical methods; He will search and learn new ways to better solve problems

> Experience in modern artificial intelligence techniques and methods

> Questions constantly finance/trading data and remain enthusiastic to search for answers, although it is proven that there is no connection or a sign

> Experience in preparing the research framework and implementing projects

> Understanding financial products, market dynamics and microscopic structure

> Low -level computer languages ​​such as C ++ or Python, Java, etc. ; Consciousness of strength in language and pressure in particular to solve more complicated problems due to understanding the nuances of the language

_______

*** We will eventually need 2+ academic recommendations, but this is not required to apply in advance. Prefer existing messages, at least 1 of your advisor — They should be framing for academic positions, scholarships, research scholarships, etc.-no need to write your auditors new

Description of the company

Radix Trading is a royal company that focuses on quantitative research and scientific circulation. We are one of the most active liquidity providers in the world’s electronic exchanges, and they have benefited from the culture of effective cooperation to expand our ideas and frequency of repetition, without the need to expand the number of employees. We work in Chicago, New York and Amsterdam.

In our industry, the vast majority of ideas will fail. Therefore, since its inception, we focused on the continuous improvement of our automated research platform and advanced technology, allowing us to fail faster than the previous day, visions of every idea, and benefit from individual contributions to the fullest through our entire organization.

We are led by Ben Blander and Michael Rothsman.

————————-

Ben Blander – former head of the high frequency group in the castle and a major contributor to the development of P&L of $ 75 million in 2005 $ 1.15 billion in 2008. In the past, Ben obtained a doctorate in mathematics (algebraic topology under Peter May) from the University of Chicago.

Michael Rothsman – formerly at Getco’s CTO, the head of the American shares, and the global head of Forex. As a practical leader, Michael has been a key role in developing many trading strategies as well as architecture and basic symbol.

————————-

Why trading?

If you want to get medium reactions to your best thoughts, taking advantage of advanced technology, it is difficult to overcome the trading industry. Every day we compete with some of the smartest people who are trying in the world to take our money – and if we are not at the top of our game in research, technology and economics, they will do that.

Although the highly overcome wave of high -frequency trading or “flash” based on the huge speed of implementation may have reached the maximum, we see continuous opportunities with our strategy of using statistical research to excel the competition.

Job title

As a quantitative researcher, your focus is on selecting trading opportunities, but you can add more value with strong amount skills and some coding efficiency to accelerate the innovation process and help others benefit from your work.

During your biography, you will gain new knowledge and insight into the basics of market dynamics, trading strategies, and our research platform.

While attention to trading is the key, the background in financing is definitely not. Our team was mostly built from the academic circles – professors, postdocs, and doctorate – not from other commercial companies. We are looking for mental diversity and add a selection of academics every year from a wide range of specialties.

Compensation – competitive salary, in addition to the quarterly reward based on individual performance and contributing to the success of others and the company.

Qualifications

We are looking for very analytical people (mathematics, physics, computer science, statistics, electrical engineering, etc.) who want to help build a trading company that relies on future research. To do this, you will need the following qualities:

> The constant motive for improvement – do you have an innate desire to rise to the next level, even after the great achievement? Our employees have succeeded in their academic life and joined Radix to achieve more effect.

> Solving creative problems and probability thinking – You must enjoy learning and implement new concepts quickly, combine knowledge from various areas to create new ideas, and take a possible approach to data in testing and implementing new ideas.

> The team’s mentality – we want people who understand 1+1> 2 and commit to making the team better by sharing ideas while leading to improve their individual performance.

> Mental flexibility and self -awareness – you will have to adapt repeatedly based on new data, results and reactions on trading ideas and performance.

> Guidance to earn money – although we appreciate academic training, our work is not an academic exercise. We follow the infiltrator’s approach to testing ideas, dropping projects that consume time without high height, and focus our following efforts on what will create the greatest value of the company.

Research / quantity strategy skills to develop or develop

> Strong intuition and deep thinking with data collections – designing the new alphas, understands complex systems; He knows where to start, or ask others from where to start

> It shows the strong ability of “piracy” to quickly enter the data to search for experimental relationships and decipher noise or signal

> Introduction with classic statistical methods and you know when and how to apply them in a strict way; Easily learn how to apply new statistical methods; He will search and learn new ways to better solve problems

> Experience in modern artificial intelligence techniques and methods

> Questions constantly finance/trading data and remain enthusiastic to search for answers, although it is proven that there is no connection or a sign

> Experience in preparing the research framework and implementing projects

> Understanding financial products, market dynamics and microscopic structure

> Low -level computer languages ​​such as C ++ or Python, Java, etc. ; Consciousness of strength in language and pressure in particular to solve more complicated problems due to understanding the nuances of the language

_______

*** We will eventually need 2+ academic recommendations, but this is not required to apply in advance. Prefer existing messages, at least 1 of your advisor — They should be framing for academic positions, scholarships, research scholarships, etc.-no need to write your auditors new