Remote Quantitative Strategist - High-Frequency Trading
About the Role
We are seeking a talented Remote Quantitative Strategist to join our dynamic team at DigiFinex. In this role, you will be responsible for statistical analysis of futures and equity markets, developing high-frequency trading models based on your analyses. This is a unique opportunity to work in a fast-paced environment where your insights will directly impact trading strategies.
What You'll Do
- Conduct statistical analysis of financial markets to develop high-frequency trading models.
- Provide quantitative research support for various trading strategies, including momentum and options trading.
- Participate in strategy development, backtesting, optimization, and risk management.
- Monitor and assess cutting-edge academic research and best practices in finance and artificial intelligence.
- Conduct quality control and evaluation of research methodologies, proposing new ideas and enhancements.
Requirements
- Master’s degree or above from a top-tier institution in applied quantitative fields such as physics, mathematics, statistics, or financial engineering.
- Solid foundation in mathematical statistics and familiarity with finance-related models.
- Proficient in machine learning and deep learning techniques, with expertise in frameworks like PyTorch or TensorFlow.
- Excellent programming skills in at least one language: Python, C++, or Java.
- Experience in quantitative trading, including quantitative development and model validation.
Nice to Have
- Experience in physics or mathematics competitions.
- Familiarity with technical implementation and trade execution.
What We Offer
- Competitive salary ranging from HK$20,000 to HK$40,000 monthly.
- Remote work flexibility allowing you to work from anywhere in the world.
- Opportunity to work with cutting-edge technologies and methodologies in finance.
- Collaborative and innovative team environment.
- Professional development opportunities to enhance your skills.
This Remote Quantitative Strategist position at DigiFinex offers a unique opportunity to work on high-frequency trading models with a competitive salary and flexible work environment.
Who Will Succeed Here
Proficient in Python and C++, with hands-on experience in developing quantitative trading algorithms and models, using libraries such as Pandas, NumPy, and TensorFlow for statistical analysis and machine learning.
Self-motivated and disciplined, enabling effective work in a fully remote environment, with strong time management skills to meet the fast-paced demands of high-frequency trading.
Deep understanding of financial markets and trading strategies, with a proven track record of applying advanced statistical methods and machine learning techniques to derive actionable insights that enhance trading performance.
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