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