Senior Algorithmic Trader / Liquidity Researcher
Indexed description
Key Responsibilities
- Responsible for the design, day-to-day operation, and continuous improvement of high-performing algorithmic strategies for different products.
- Own strategies development and growth roadmap, while ensuring alignment with the overall business mandates.
- Work closely with quant developers to provide design specifications and ensure efficient deployment of strategies and risk controls into production systems.
- Collaborate with operations, clearing, and other stakeholders to ensure smooth and accurate onboarding of new instruments and funding requirements.
- Participate in and initiate projects to innovate trading and execution solutions across different trading platforms and on-chain infrastructures.
- Master’s degree or above in a quantitative field such as Mathematics, Statistics, Physics, Engineering, or Computer Science.
- 5+ years of experience in a similar role, preferably in quantitative trading firms, brokers, and trading houses, with a proven track record of success.
- Experience in market microstructure and analysis of order books and trade data.
- Experience in algorithmic trading and execution strategy design. Experience in alpha signal generation is a plus.
- Solid knowledge of quantitative modeling, with the ability to independently build algo specifications for new trading strategies and collaborate with developers to deliver them.
- Strong programming skills in Python and SQL; C++ or Rust is a plus.
- Excellent analytical and problem-solving skills, with a self-motivated and highly independent working style.
- Excellent communication skills and comfort working with a global team in a fast-paced environment.
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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