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Market Microstructure Quantitative Researcher

2 months ago

Chicago, Illinois, United States Akuna Capital Full time

Role Overview

As a Quantitative Researcher at Akuna Capital, you will be an integral part of our Quantitative Trading and Research team, which comprises experts in mathematics, statistics, and technology. This team is dedicated to developing trading strategies through a scientific approach that leverages quantitative skills alongside a profound understanding of derivatives and financial markets.

We seek innovative researchers who can enhance Akuna's trading performance and execution capabilities. In this position, you will:

  • Acquire in-depth knowledge of various global exchanges, including their unique characteristics, connectivity options, and messaging protocols.
  • Conduct analysis and modeling of market behaviors, competitor actions, and the impact of market activities.
  • Assist in the identification, design, backtesting, and optimization of low-latency trading strategies utilizing extensive datasets.
  • Develop metrics to assess strategy execution and carry out post-trade evaluations.
  • Collaborate with traders and developers to discover and integrate new signals into our trading methodologies.
  • Recognize and implement enhancements to infrastructure aimed at reducing latency and maximizing overall performance.

Ideal Candidate Attributes:

  • A degree (BS/MS/PhD) in a technical discipline such as Engineering, Computer Science, Mathematics, Physics, or a related field.
  • Strong programming proficiency in Python, with additional skills in C++ or Java being advantageous.
  • Experience in handling large datasets, particularly tick data.
  • Familiarity with analyzing low-latency trading strategies.
  • Understanding of networking principles and low-latency networking techniques is a plus.
  • Knowledge of statistical modeling and time series analysis is beneficial.

Remote work opportunities are available and considered on an individual basis. Please indicate your preference in your application.