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Medium Frequency Quant Trader/ London

Eka FinanceLondon🇬🇧United KingdomPosted 6 Aug 2026

Why This Role Stands Out

This is an exceptional opportunity to develop cutting-edge systematic trading strategies within a prestigious quant team, offering significant career growth and the chance to make a real impact on market-leading investment processes. If you have a strong quantitative background, a passion for alpha research, and thrive in a collaborative environment that values work-life balance, you'll be a perfect fit for this exciting hybrid role. Apply now to join Eka Finance and elevate your trading career.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Role:-

You will join a small, prestigious mid-frequency systematic quant team . You will take ownership of the full lifecycle of creating market leading systematic trading strategies. This will consist of researching alpha signals, building state of the art machine learning models and implementation of strategies .

Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process.

Requirements:-

You should have at least 3 years of experience working within finance, preferably in a buy side company, working on alpha research and signal generation working with strategies with a holding period of minutes to hours/ intraday.

Product experience in any asset class will be considered.

Prior exposure to medium-frequency or daily/intraday trading strategies in North America, Europe or Asia would be highly relevant.

Strong grasp on end-to-end strategy development

Proven success developing strategies in the HFT or Intraday space

Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field

This firm believes in a work life balance so candidates who are passionate about quant trading and also happy to maintain a work life balance and an ethos of working in a collaborative environment should apply.

Apply:-

Please send a PDF resume to quants@ekafinance.com

Skills

Machine Learning

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