Cross Asset Alpha Researcher/ London / Hig
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Added before 7 Days
- England,London,City of London
- Full Time, Permanent
- Competitive salary
Job Description:
Role:-
Researchers are responsible for conducting quantitative research using statistical and predictive modelling techniques.
Research and implement various trading strategies
Identify new trading opportunities by using statistical methods and analysing large data sets
Ensure that all data and related processes are prepared and check over strategies that have been implemented as well as tracking their behaviour
Work closely with other researchers to develop and continuously improve upon mathematical models, and help translate algorithms into code
Requirements:-
Experience of researching, or implementing quantitative models for equities, futures, and/or FX. Cross asset experience is ideal.
PhD in Maths, Stats, Physics, Computer Science, or other quantitative discipline.
Demonstrated ability to conduct independent research utilizing large data sets
Programming in any of the following: C++, Java, , Python.
Detail-oriented
Apply:-
Please send a PDF resume to
Researchers are responsible for conducting quantitative research using statistical and predictive modelling techniques.
Research and implement various trading strategies
Identify new trading opportunities by using statistical methods and analysing large data sets
Ensure that all data and related processes are prepared and check over strategies that have been implemented as well as tracking their behaviour
Work closely with other researchers to develop and continuously improve upon mathematical models, and help translate algorithms into code
Requirements:-
Experience of researching, or implementing quantitative models for equities, futures, and/or FX. Cross asset experience is ideal.
PhD in Maths, Stats, Physics, Computer Science, or other quantitative discipline.
Demonstrated ability to conduct independent research utilizing large data sets
Programming in any of the following: C++, Java, , Python.
Detail-oriented
Apply:-
Please send a PDF resume to
Job number 3443058
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