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Company: ALT Fund
Job Location: Estonia
Job Type: FULL_TIME - (ON_SITE)
Date Posted: April 05, 2025
External
Apply NowWe are a next-generation hedge fund that combines the agility of a startup with the resources of a high-performing fund. Our team is focused on developing cutting-edge strategies. Working with us is not just about advancing technology—it’s about being part of a team where ideas are valued, professional growth is encouraged, and every member has the opportunity to unlock their full potential.
We are looking for an experienced specialist with proven experience in quantitative research for intraday trading.
What You’ll Be Doing:
Engage in the full research cycle of trading strategies, including:
Collaborate with engineers and quants to enhance systematic trading infrastructure.
Develop market impact models and portfolio construction methods.
Contribute to the development of scalable, high-performance trading systems.
Skills & Education:
• Strong proficiency in Python in a Linux environment.
• Deep understanding of statistics, data modeling, and time series analysis.
• Ability to work both independently and effectively within a team.
• Master’s or PhD in a quantitative field (Physics, Mathematics, Computer Science, or related disciplines).
• Languages - Russian, English.
Bonus Points For:
• Experience with machine learning (PyTorch, TensorFlow).
• Knowledge of Airflow and data streaming tools.
• Skills in high-performance programming (Rust/C#).
• Culture of Innovation: An open, dynamic, and inclusive environment where your ideas matter.
• Flexibility & Impact: Enjoy the freedom of a startup with the backing of a well-resourced fund.
• High Impact: Work directly on projects that shape strategies and drive the fund’s success.
• 35 Days of Vacation – Plenty of time to rest and recharge.
• 100% Paid Sick Leave – Recover without financial worries.
• Top-Tier Equipment – Choose the tools that suit you best (within budget).
• Corporate Psychologist – Mental health support when you need it.
Imagination is more important than knowledge.