Quantitative Engineer

Engineers Gate
·
Posted: 
June 2, 2023
·
Onsite
Job Commitment
Full-time
Job Commitment
Mid Level
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Mid Level
Workplace Type
Onsite
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

The job overview for this position is that Engineers Gate is seeking a Quantitative Engineer to join their trading team and play a key role in scaling the team's research infrastructure. The individual will be responsible for building robust research components to enhance the team's capabilities and efficiency. They will collaborate closely with researchers and engineers, gaining exposure to quantitative research and trading, and making an immediate impact on the team's success. This role offers a rare opportunity to work alongside highly experienced quantitative engineers and researchers in a small, fast-moving, and innovative environment.

Responsibilities

  • Develop efficient and high-quality research components to enhance the team's research capabilities and efficiency.
  • Collaborate closely with researchers and engineers to contribute to quantitative research and trading.
  • Contribute to the success of the team by having an immediate impact on its performance.
  • Work in a small and fast-moving team with a flat management structure and minimal bureaucracy.
  • Continuously learn and develop skills by working alongside highly experienced quantitative engineers and researchers.

Requirements

  • Strong background in quantitative research and trading
  • Experience in building robust research components
  • Ability to enhance research capabilities and efficiency
  • Collaboration skills with both researchers and engineers
  • Motivated, skilled, and innovative mindset
  • Continuous learning and development mindset
  • Ability to work in a small and fast-moving team
  • Strong problem-solving skills
  • Proficiency in statistical models and mathematical methods
  • Familiarity with global financial markets
  • Experience with state-of-the-art technology and data platforms

Benefits

  • Opportunity to work for a leading systematic quantitative investment company
  • Access to a proprietary, state-of-the-art technology and data platform
  • Exposure to a spectrum of quantitative research and trading
  • Opportunity to collaborate closely with experienced quantitative engineers and researchers
  • Flat management structure and minimal bureaucracy
  • High value placed on continuous learning and development
  • Opportunity to work with a small and fast-moving team
  • Chance to have an immediate impact on the success of the team
  • Development of efficient and high-performance research infrastructure
  • Opportunity to work with automated backtesting and risk modeling
  • Analyzing, organizing, and modeling empirical data
  • Thorough testing to ensure correctness of numerical routines
  • Opportunity to work with Python, Unix, and SQL
  • Strong analytical and problem-solving abilities
  • Excellent communication skills

Job Application Resources

No items found.

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Engineers Gate

Engineers Gate is a team of researchers and financial industry experts with a focus on obtaining investment with systematic strategies.
Location
New York, NY
Company Size
101-250
Workplace Type
Industries
Finance
Financial Services
Lending and Investments
Open Roles
5
Less details
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Engineers Gate

Engineers Gate is a team of researchers and financial industry experts with a focus on obtaining investment with systematic strategies.
Company Overview

Engineers Gate is a team of researchers and financial industry experts with a focus on obtaining investment with systematic strategies.

Benefits
  • Opportunity to work within a small team of experienced quantitative researchers
  • Apply scientific research skills to real-world applied problems
  • Continuous learning and development
  • Work with massive data sets and cutting-edge methods and technologies
Less details

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