Quantitative Researcher

2 months ago


New York, New York, United States Engineers Gate Full time

About the Job and the Company

At Engineers Gate (EG), we are pioneers in quantitative investment, specializing in computer-driven trading across global financial markets. Our team comprises skilled researchers, engineers, and finance professionals who harness advanced statistical models to analyze data and uncover predictive signals for generating exceptional investment returns. Each of our investment teams focuses on unique strategies, leveraging our cutting-edge technology and data platform for optimal alpha research.

We are currently looking for a dynamic Quantitative Researcher to join one of our systematic equity trading teams. As part of this role, you will utilize the team's existing infrastructure to develop innovative trading strategies from data analysis to idea generation, backtesting, and strategy deployment. The ideal candidate will possess strong programming abilities and a keen interest in delving deep into data analysis, enabling the creation of alpha through a blend of data understanding and financial insight. Reporting directly to the Portfolio Manager, the Quantitative Researcher will play a crucial role in all facets of systematic trading, presenting significant growth prospects for the right individual.

Continuous learning and growth are core values at our company, providing you with a chance to work alongside experienced professionals and expand your skill set. If you are enthusiastic about applying scientific and mathematical methods to solve challenges in the financial markets, this is the perfect opportunity for you.

Key Responsibilities
  • Process and analyze various data sets, regardless of format, with a focus on structured and unstructured data.
  • Collaborate with the Portfolio Manager to develop alpha signals from traditional and alternative data sets.
  • Employ a data-driven approach to generate innovative alpha ideas and rigorously test them.
  • Work with team members to enhance existing research and trading tools, and introduce new data analysis techniques.
  • Demonstrate proactive problem-solving skills, showing initiative in developing novel trading strategies.
  • Stay abreast of market trends, technological advances, and developments in quantitative finance.
Requirements and Experience
  • Proficient in alpha research methodologies for cash equities, with a background in systematic equity strategies and a proven track record.
  • Minimum of two years of experience in alpha research within systematic equity trading; exceptional recent graduates with advanced quantitative degrees will also be considered.
  • Strong programming skills, with a preference for Python.
  • Experience in constructing scalable time series data analysis systems is advantageous.
  • Knowledge of portfolio construction and trade execution is highly beneficial.
  • Ability to work autonomously with minimal guidance and collaborate effectively with team members.

The salary range for this position is expected to be $130,000 to $150,000, excluding bonuses, additional compensation, and benefits. Final compensation will be based on various factors, such as expertise, qualifications, education, and experience.


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