The growing team of our Client in Moscow is looking for a last year student ora recent alumni to join us as a quantitative trader or as junior quantitativeresearcher. The individual in this role will collaborate extensively with teammembers in validating ideas, researching market dynamics and building highfrequency systematic trading models.
As soon as candidate can work independently we providea unique opportunity for him to work on his own ideas, expanding to other assetclasses and markets.
Candidates without knowledge of Matlab are noteligible.
A successful candidate must have extensive experienceof data analysis in Matlab/’R’.
Last year students can work on a part-time basis.
Candidatequalifications:
• Working knowledge of forecasting and data mining techniques, such astime-series econometrics, pattern recognition or support vector machines;
• Excellent knowledge of Matlab;
• Strong development skills in C++/C#;
• Strong desire to work in the capital markets;
• BS/MS in a quantitative area preferably from MIPT/MSU.
Additionalqualifications:
• Experience working with large data-sets is a plus;
• Experience developing statistical models in a trading environment ispreferred;
• Experience developing high-load real-time systems is a plus;
• AI/Machine Learning experience is a plus.
Candidateresponsibilities:
• Research high frequency data to find out short-termmarket inefficiencies and develop trading algorithms to exploit theseinefficiencies;
• Expand to other asset classes and markets.
About us
OurClient is a small team of professionals doing high-to-mid frequency algorithmictrading in stocks and derivatives in Russia and preparing to expandglobally.
Our Client is a proprietary trading house which enjoya casual atmosphere and have a flat organizational structure.
Contact
Incase of interest please send you Cover Letter, CV and a track record to:
[email protected]
more info about our company www.altadata.ee
As soon as candidate can work independently we providea unique opportunity for him to work on his own ideas, expanding to other assetclasses and markets.
Candidates without knowledge of Matlab are noteligible.
A successful candidate must have extensive experienceof data analysis in Matlab/’R’.
Last year students can work on a part-time basis.
Candidatequalifications:
• Working knowledge of forecasting and data mining techniques, such astime-series econometrics, pattern recognition or support vector machines;
• Excellent knowledge of Matlab;
• Strong development skills in C++/C#;
• Strong desire to work in the capital markets;
• BS/MS in a quantitative area preferably from MIPT/MSU.
Additionalqualifications:
• Experience working with large data-sets is a plus;
• Experience developing statistical models in a trading environment ispreferred;
• Experience developing high-load real-time systems is a plus;
• AI/Machine Learning experience is a plus.
Candidateresponsibilities:
• Research high frequency data to find out short-termmarket inefficiencies and develop trading algorithms to exploit theseinefficiencies;
• Expand to other asset classes and markets.
About us
OurClient is a small team of professionals doing high-to-mid frequency algorithmictrading in stocks and derivatives in Russia and preparing to expandglobally.
Our Client is a proprietary trading house which enjoya casual atmosphere and have a flat organizational structure.
Contact
Incase of interest please send you Cover Letter, CV and a track record to:
[email protected]
more info about our company www.altadata.ee