Data Engineer (USA)

Posted 19 Days Ago
Stamford, CT
Junior
Machine Learning • Business Intelligence
The Role
The Data Engineer will collaborate with researchers to translate trading strategies into data variables, develop scripts for data processing, ensure data accuracy, and optimize data retrieval processes. They will assist with integrating new data sources and provide technical support for data issues.
Summary Generated by Built In

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

Top Skills

Python
The Company
HQ: Stamford, CT
67 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.

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