Why this role stands out
This role offers a fantastic opportunity to apply advanced mathematical modeling and computational skills in a dynamic high-frequency trading environment, fostering significant career growth. If you have a PhD in a quantitative field, a passion for complex problem-solving, and proven experience in HFT, you'll thrive in this collaborative and intellectually stimulating hybrid position. Apply now to join Eka Finance and contribute to cutting-edge quantitative research.
Quick overview
Job description
Role:-
- Developing mathematical models to solve difficult stochastic problems.
- Analyzing convergence and boundedness properties of algorithms and estimates.
- Estimating predictive functions from large data sets.
- Translating your models to fast computational methods.
- Collaborating with researchers and developers to implement all of the above.
Requirements:-
History of peer-reviewed publications in optimization, algorithms, statistics, numerical analysis, signal processing, operations research, or a related field.
You must have 2+ years work experience in high-frequency trading.
Fluency with LaTeX typesetting.
Programming experience with C++ in a UNIX-based environment.
Experience using data analysis tools in Python or R.
PhD in Applied Maths, Computer Science , Statistics , Physics .
Extremely strong problem solving skills.
Apply:-
Please send a Word CV to Sara Hunter at quants@ekafinance.com
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