Strategic Trading Specialist

Quantitative Trader Role

GoQuant is a leading fintech startup dedicated to providing innovative solutions for digital asset traders and researchers. As a Quantitative Trader, you will be responsible for developing and implementing algorithmic trading strategies using quantitative methods.

We are seeking an experienced or highly motivated individual with a strong foundation in mathematics, statistics, or econometrics. The ideal candidate should have hands-on experience with programming languages such as Python, R, or MATLAB, and familiarity with data libraries like pandas, numpy, and scipy.

The successful candidate will have the opportunity to work closely with other researchers, engineers, and product managers to develop and integrate research into production trading systems. This role requires excellent analytical and problem-solving skills, as well as the ability to effectively communicate research findings to stakeholders.

Responsibilities :

• Conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure
• Develop and backtest algorithmic trading strategies using quantitative methods
• Analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities
• Create research reports and visualizations to communicate findings to stakeholders
• Collaborate with engineers to integrate research into production trading systems
• Support the development of risk management and portfolio optimization models

Requirements :

What We Offer :

As a Quantitative Trader at GoQuant, you will have the opportunity to work in a dynamic startup environment with a talented team of researchers, engineers, and product managers. We offer a competitive compensation package and a chance to grow your career in the exciting world of fintech.

How to Apply :

If you are a motivated and detail-oriented individual with a passion for quantitative finance, please submit your application. We welcome candidates from diverse backgrounds and encourage those who may not meet all the qualification criteria to apply.