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Quantitative Research Leader
1 month ago
Algo Capital Group is seeking a talented Lead Quantitative Researcher to spearhead the development of cutting-edge strategies for our Equity Statistical Arbitrage desk.
Key Responsibilities:
- Design, implement, and optimize high-performance equity statistical arbitrage strategies in collaboration with global research teams.
- Take ownership of alpha research initiatives, developing and validating new trading signals and models.
- Oversee the full lifecycle of strategy development, from hypothesis generation and back-testing to implementation and real-time execution.
- Manage and optimize risk while ensuring strategies are aligned with the fund's performance objectives, maintaining a high Sharpe ratio.
- Develop and enhance low-latency trading systems to ensure efficient execution of strategies in a mid-frequency trading environment.
Qualifications:
- Bachelor's, Master's, or PhD in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or related fields.
- Wealth of experience in systematic equities trading, with a proven track record of developing high Sharpe Ratio statistical arbitrage strategies.
- Strong leadership capabilities with experience in leading and mentoring quantitative research teams.
- Hands-on experience in advanced programming and algorithmic development in languages such as Python, C++, or Java.
- In-depth knowledge of Mid-Frequency Trading (MFT) and experience with low-latency systems and real-time data.
- Strong communication skills and the ability to work closely with Portfolio Managers and other stakeholders to drive performance.
This is a rare opportunity to work at the intersection of advanced quantitative research, data analysis, and real-time trading, with great opportunities for career progression at Algo Capital Group.