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Data Engineer

3 months ago

Stamford, United States Trexquant Investment Full time
Job DescriptionJob Description

Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We apply a wide variety of statistical and machine learning techniques to build investment portfolios and trade our client assets in global equity and futures markets. With locations in the US, China and India, our global team in excess of 50 employees is comprised primarily of research professionals with advanced science, math and technology degrees who explore the universe of quantitative methods for opportunities to enhance and adapt our platform and profit in an exciting and dynamic environment.

We are seeking a dedicated and detail-oriented Data Engineer to join our team. The primary goal of this team is to assist researchers in writing, downloading and reading scripts, effectively translating their ideas into data variables for trading purposes. The ideal candidate will have a strong background in data engineering, excellent scripting skills, and a keen understanding of financial data and trading strategies.

Responsibilities

  • Collaborate with researchers to understand their data requirements and trading strategies.
  • Develop and maintain scripts for downloading, reading, and processing data from various sources.
  • Ensure data accuracy, consistency, and reliability by implementing quality control measures.
  • Optimize data retrieval processes for efficiency and performance.
  • Assist in the integration of new data sources and formats into the existing data infrastructure.
  • Provide technical support and troubleshooting for data-related issues.
  • Document data workflows, processes, and scripts for future reference and knowledge sharing.
  • Stay updated with industry trends and advancements in data engineering and financial data.

Requirements

  • A degree in a technical discipline (computer science, mathematics, statistics, physics, etc.)
  • 1+ years of experience in Python as used in data capacity
  • Experience in financial services and working with financial data providers is a plus
  • Ability to work independently and take projects to completion, quickly learn new systems, think creatively and pay attention to details

Benefits

  • Competitive salary plus bonus bonus based on individual and company performance
  • Collaborative, Casual, and friendly work environment
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents
  • Pre-tax commuter benefits
  • Weekly company meals