Base Salary: $200,000 USD per year + generous bonus structure (contact us)
Overview
We are seeking a seasoned Senior Quantitative Trader to lead the execution and evolution of our systematic trading desks. With at least 5 years of experience in high-stakes environments, you will be responsible for deploying capital, managing significant risk, and refining the alpha-generating strategies that drive our firm’s success. This role is designed for a market expert who balances a deep technical “under-the-hood” understanding of trading systems with the seasoned intuition required to navigate volatile market regimes.
The Role:
As a Senior Quantitative Trader, you will own the lifecycle of a trading strategy—from high-level oversight of automated execution to the granular optimization of market-making logic. You will mentor junior talent and collaborate with senior leadership to scale our trading footprint. Responsibilities include:
- Strategy Ownership: Manage and scale high-frequency or systematic trading strategies across global markets (Equities, Options, Futures, or Crypto).
- Execution & PnL: Actively manage a significant capital allocation, optimizing for Sharpe ratio and ensuring consistent PnL growth.
- Risk Leadership: Navigate “black swan” events and high-volatility periods with expert-level risk management and real-time system adjustments.
- Alpha Refinement: Partner with the Research team to identify decay in existing signals and implement enhancements to maintain a competitive edge.
- System Evolution: Provide strategic direction to the Engineering team to improve low-latency infrastructure, order routing, and backtesting fidelity.
- Mentorship: Act as a technical and market resource for junior traders and researchers, fostering a culture of rigorous analytical excellence.
What You Will Bring:
- A Bachelor’s or Master’s degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field.
- 5+ years of experience in a quantitative trading role, preferably within an options or derivatives market-maker.
- Proficiency in any programming language (such as Python, C++, Java, Rust, or R) for data analysis, modeling, and automation.
- Advanced understanding of statistics, probability, time series analysis, and numerical methods.
- Deep familiarity with financial markets, electronic trading instruments, and market microstructure.
- Strong analytical and problem-solving skills with a track record of managing risk in live market environments.
- Ability to communicate complex quantitative ideas clearly to researchers, engineers, and non-technical stakeholders.
- Proven ability to thrive in a high-pressure, fast-paced, and collaborative trading environment.