Назад
6 дней назад

Quantitative Researcher (Electronic Market Making)

Тип работы
fulltime
Страна
US
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Описание вакансии

TL;DR
Quantitative Researcher (Electronic Market Making): Analyzing exchange data with statistical and machine learning techniques to identify profitable patterns and develop production trading strategies with an accent on data cleaning, strategy integration, and performance monitoring. Focus on retrieving market data, writing production-quality code, and collaborating with quantitative developers and traders to improve electronic market-making strategies.

Quantitative Researcher Electronic Market Making

Company

Bluesky Capital Advisors, LLC

Conditions

4 days agoNew York, USA Internship Research Jobs by Bluesky Capital Advisors, LLC

Skills

C# Data Analysis Data Cleaning Investment Management Linux Machine Learning Matlab Python Statistics Strategy Development Trading

Candidate Availability

New York · Required United States · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You analyze large datasets with statistical and machine learning techniques to identify profitable patterns, retrieve and clean exchange data, develop production trading strategies, monitor their performance, and collaborate with quantitative developers and traders on new ideas.

Requirements

  • M.S. or Ph.D. degree in Engineering, Mathematics, Statistics, Computer Science, or a related area
  • Hands-on experience with Python or Matlab
  • Knowledge of statistical tools and machine learning techniques
  • Ability to work independently on short and long-term projects
  • Knowledge of C++ and Linux
  • Prior trading or investment management experience is a plus
  • Prior experience in trading is preferred

Responsibilities

  • Analyze large amounts of data using statistical and machine learning techniques to identify profitable patterns
  • Retrieve and clean data from various exchanges
  • Write production quality code to integrate new trading strategies
  • Monitor the performance of strategies deployed into production
  • Work with quantitative developers and traders to find new trading ideas and improve existing strategies

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