Quantitative Trader / Researcher (Confidential Trading Firm)

About the Role

We are looking for an individual driven by numbers, obsessed with patterns, and curious about market dynamics. This role is for someone who wants to design, test, and deploy real-world trading strategies and see immediate results in a fast-moving environment.

Core Responsibilities

• Strategy Design: Research and design high-frequency trading (HFT) strategies from the ground up.
• Optimization: Analyze performance metrics, model risk profiles, and optimize strategy parameters.
• Deployment: Collaborate closely with engineering teams to implement and deploy live strategies.
• Execution Monitoring: Monitor trades in real-time and adjust strategy behavior based on live market conditions.
• Data Science: Conduct rigorous statistical analysis on large-scale, high-fidelity datasets.
• Iterative Development: Maintain a "ship-and-learn" mindset—test, fail, iterate, and deploy improved models quickly.

Candidate Profile

• Academic Background: Strong foundation in mathematics, statistics, physics, or a related quantitative field.
• Programming Skills: High proficiency in Python is essential; experience with C++ or Rust is a significant advantage.
• Modeling Skills: Deep enjoyment of working with raw data and building complex models from scratch.
• Domain Interest: A genuine curiosity about global markets, trading mechanics, and the cryptocurrency ecosystem.
• Ownership Mindset: A desire to take full ownership of an idea from the initial model to production.
• Operational Agility: Ability to move fast, stay sharp under pressure, and navigate market uncertainty effectively.