High Frequency Quant Manager / London

Role:-

As a Senior Quantitative Researcher, you will be responsible for producing empirical research that can be employed in higher frequency quantitative investment strategies with holding periods of hours to a few days. It is also expected that you will own the larger team’s agenda on trading research / execution strategy. You will work both independently and in cooperation with the rest of the team. To conduct research, you will employ cutting edge technology such as cloud computing (e.g. AWS), high-performance computing (e.g. Slurm), big data (e.g. kdb+, Exasol) as well as cutting edge science in machine learning and statistics. You will have the opportunity to build out and manage a small team of 2-3 quantitative researchers within the larger PM team.

Requirements:-

At least 3 years of research / trading experience in either a quantitative investment setting or on a sell-side trading desk / algo research team with previous alpha / PnL contributions (or showing strong potential to generate these going forward).

First Class, Master’s or PhD degree in a quantitative discipline e.g. hard science, engineering, computer & data science, math / stat / ML, finance

Experience in handling large, high frequency / tick datasets

Experience in Python or C++

Experience in using kdb+ / q (strongly preferred)

Experience in using python or C++ with parallel processing / cloud computing environments (preferred)

Knowledge of FIX (preferred).

Apply:-

Please send a PDF resume to quants@ekafinance.com