Why this role stands out
This hybrid role offers an exciting opportunity to research and develop systematic trading strategies across multiple asset classes, leveraging your data science skills and contributing to a renowned firm. You'll thrive here if you're a curious quant with a passion for cross-asset macro investing and a desire for continuous learning and impact.
Quick overview
Job description
They are specialists in systematic quantitative macro investing and manage systematic quantitative equity and global multi-asset strategies.
Role:-
Your role will involve researching quant trading strategies including also monitoring the live trading of the models, and performance analysis. Everyone in the team gets involved in data requests for clients and marketing. You will monitor the models , give information to the senior quants of the live trading decisions and performance . You will be involved in researching and identifying alternative datasets to create new systematic strategies as well as back-testing and implementing new strategies.
Requirements:-
Ideally you will have quant exposure from multiple asset classes . This is not a role for someone who wants to specialise only in one asset class but perfect for a candidate who is excited about multiple asset classes and exposure to different facets of the job.
They are looking for a quant who has three or four years work experience in a relevant area involving financial markets / macroeconomics from a datascience angle .
Coding ability in R or Python.
You will be very good with data in a practical way and interested in data analysis.
If you have had exposure to presenting or marketing new research to institutional investors – that will be a plus.
Academically, they would like to see Masters / PHDs who have a focus on Economics / Econometrics / Data Science.
This is a place where people work for years and thrive in the culture.
Apply:-
Please send a PDF resume to Tina Kaul at quants@ekafinance.com
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