Why us?
At Nyrus Ltd, we are building a proprietary trading firm driven by research, data, and innovation in high-frequency trading (HFT). Our focus is on developing advanced market-making strategies powered by cutting-edge quantitative research and machine learning.
We are looking for exceptional people who thrive in a fast-paced, research-driven environment where ideas move quickly from concept to execution.
As a lean and distributed team, we value independence, curiosity, and collaboration. If you have a deep interest in quantitative finance and the drive to innovate in crypto asset markets, we’d love to hear from you. Contact us at careers@nyrus.tech to apply or learn more about our culture and values.
Open Roles
Quantitative Researcher
Responsibilities:
- Develop and test systematic trading strategies across traditional and crypto markets
- Explore applications of ML and DL in trading
- Collaborate with senior researchers to enhance existing trading strategies and support the design of new quantitative models
Requirements:
- Masters degree or Phd in mathematics, physics, computer science, engineering, or another quantitative discipline. The exceptional candidates with the Bachelor degree will also be considered
- Strong programming skills in Python
- Foundational knowledge of machine learning, statistics and probability
- Ability to solve complex analytical problems and communicate efficiently
- Curiosity, adaptability, and interest in financial markets
- Background in math and competitive programming competitions is a big advantage, but is not compulsory
- No prior knowledge of finance is required
Senior Quantitative Researcher
Responsibilities:
- Lead research on advanced high-frequency trading strategies and market-making models
- Mentor junior researchers and drive collaborative research initiatives
- Design and implement ML and RL techniques for alpha generation
- Choose research priorities and strategy direction
Requirements:
- Several (3+) years of experience in quantitative research or systematic trading
- Track record of developing profitable strategies or impactful research
- Deep expertise in market microstructure, optimization, and statistical learning methods
- Strong programming skills in Python
- Excellent and efficient communication skills, willingness and ability to take responsibility