Recruitments

If you are interested in working with us, please visit the careers page to apply. Once applications have been reviewed, shortlisted candidates will be invited for an interview. If you have applied for a quant role you will also be asked to complete a data set test.

Recruitments

If you are interested in working with us, please visit the careers page to apply. Once applications have been reviewed, shortlisted candidates will be invited for an interview. If you have applied for a quant role you will also be asked to complete a data set test.

Data set tests

A key part of the recruitment process for Quants is the data set test that is designed to simulate the day-to-day tasks in the Quantitative Strategies and Development Team at Itarle. After completing the test, you will have a better understanding of the role.

 

Data set tests

 

A key part of the recruitment process for Quants is the data set test that is designed to simulate the day-to-day tasks in the Quantitative Strategies and Development Team at Itarle. After completing the test, you will have a better understanding of the role.

Data set tests

A key part of the recruitment process for Quants is the data set test that is designed to simulate the day-to-day tasks in the Quantitative Strategies and Development Team at Itarle. After completing the test, you will have a better understanding of the role.

Quants test

*Due to the specific requirements of the role, we kindly ask you to complete the below test in Java/ C++. Please note that Python is not allowed. If you look for a position which requires programming skills in Python, please follow Itarle’s LinkedIn page and stay tuned for our recruitment updates for further opportunities.

Please see the link below which is a zipped CSV file on AWS for 4 days' worth of tick data for 100 Scandinavian blue chip stocks.

Download CSV file here

Could you please complete a report and send us the findings to include the following data on a stock by stock (the individual unique stock codes are given in the first column) basis:

  • Mean time between trades
  • Median time between trades
  • Mean time between tick changes
  • Median time between tick changes
  • Longest time between trades
  • Longest time between tick changes
  • Mean bid ask spread
  • Median bid ask spread
  • Examples of the round number effect - (both in traded values and traded volumes - i.e. is there an increased probability of the last digit on prices being a 0 compared to other last digits)

The CSV has the following fields / columns:

  • 1 = Bloomberg Code/Stock identifier
  • 3 = Bid Price
  • 4 = Ask Price
  • 5 = Trade Price
  • 6 = Bid Volume
  • 7 = Ask Volume
  • 8 = Trade Volume
  • 9 = Update type => 1=Trade; 2= Change to Bid (Px or Vol); 3=Change to Ask (Px or Vol)
  • 11 = Date
  • 12 = Time in seconds past midnight
  • 15 = Condition codes

This data is over several days and so when no trading occurs there are large time gaps to take into account so as not to skew the figures.

Please also exclude auctions from your analysis. There should be c. 2 auctions a day - morning and afternoon. During this period you will see crossed spreads (i.e. bid price is larger than ask price) along with specific condition codes. Please only include the XT condition code (along with no condition code).

Could you send both the analysis results, along with the code that you have written to complete the analysis as an appendix within 3 working days following the receipt of this invite to the following address:

annie.wong@itarle.com

Please let us know in advance if an extension is needed for any particular reason.

Thanks, and good luck!

Quants test

*Due to the specific requirements of the role, we kindly ask you to complete the below test in Java/ C++. Please note that Python is not allowed. If you look for a position which requires programming skills in Python, please follow Itarle’s LinkedIn page and stay tuned for our recruitment updates for further opportunities.

Please see the link below which is a zipped CSV file on AWS for 4 days' worth of tick data for 100 Scandinavian blue chip stocks.

Download CSV file here

Could you please complete a report and send us the findings to include the following data on a stock by stock (the individual unique stock codes are given in the first column) basis:

  • Mean time between trades
  • Median time between trades
  • Mean time between tick changes
  • Median time between tick changes
  • Longest time between trades
  • Longest time between tick changes
  • Mean bid ask spread
  • Median bid ask spread
  • Examples of the round number effect - (both in traded values and traded volumes - i.e. is there an increased probability of the last digit on prices being a 0 compared to other last digits)

The CSV has the following fields / columns:

  • 1 = Bloomberg Code/Stock identifier
  • 3 = Bid Price
  • 4 = Ask Price
  • 5 = Trade Price
  • 6 = Bid Volume
  • 7 = Ask Volume
  • 8 = Trade Volume
  • 9 = Update type => 1=Trade; 2= Change to Bid (Px or Vol); 3=Change to Ask (Px or Vol)
  • 11 = Date
  • 12 = Time in seconds past midnight
  • 15 = Condition codes

This data is over several days and so when no trading occurs there are large time gaps to take into account so as not to skew the figures.

Please also exclude auctions from your analysis. There should be c. 2 auctions a day - morning and afternoon. During this period you will see crossed spreads (i.e. bid price is larger than ask price) along with specific condition codes. Please only include the XT condition code (along with no condition code).

Could you send both the analysis results, along with the code that you have written to complete the analysis as an appendix within 3 working days following the receipt of this invite to the following address:

annie.wong@itarle.com

Please let us know in advance if an extension is needed for any particular reason.

Thanks, and good luck!