Job Description

Role:-

This role is ideal for an experienced researcher to join a well-positioned team at an early stage to deliver measurable and long-lasting PnL impact while collaborating with individuals with proven experience building some of the most profitable high-frequency strategies in the world.

You will:-

Contribute to and drive research projects with heavy PnL impact, including alpha signal generation, statistical modelling and machine learning, strategy simulation and calibration, post-trade analysis, and so forth.
Develop or improve the team’s research pipeline and simulation environments
Write production trading strategies (C++)

Requirements:-

Significant experience in alpha generation or strategy research in quantitative trading, preferably in high-frequency trading
Significant experience in building research pipelines and tools for quantitative trading that process large volume of data in cloud or distributed computing environments
Significant experience in trading equities and/or futures in US and other major global markets
Strong publication record in machine learning, statistical modeling, optimization, signal processing, computer vision, natural language processing or a similar data-driven research field, e.g., NeurIPS, ICML, ICLR, AAAI, KDD, JMLR, PAMI, etc. for machine learning.
Bachelors or advanced degree in a STEM major
Strong intuition, hands-on mentality, and keen interest in playing with data
Knowledge of statistics, statistical modeling or machine learning techniques and knowing whether, when and how to apply them in data-driven research
Programming skills in C++
Programming skills in Python or other scripting languages
Ideally 4+ years of working experience in quantitative trading, preferably in high-frequency trading
Demonstrated ability to write well-documented code
Passion for building research pipelines and tools

Apply:-

Please send a PDF resume to quants@ekafinance.com

Job Tags

Full time, Work experience placement,

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