Open Futures - Senior Algorithmic Trader/Portfolio Manager

Description:

About the job

We are hiring Senior Algorithmic Traders / Portfolio Managers with deep expertise in designing, deploying, and managing high-frequency to systematic trading strategies across global markets.

In this role, you will be responsible for end-to-end strategy ownership from quantitative research and signal generation to production deployment and live trading. You will work closely with quant researchers, developers, and infrastructure teams to build and optimize trading systems with a strong focus on latency, scalability, and risk-adjusted performance.

Responsibilities:

- Design, develop, and deploy high-frequency and systematic trading strategies across global financial markets.

- Conduct quantitative research and statistical analysis to identify alpha opportunities using large-scale market data.

- Build and optimize low-latency trading systems with a strong focus on execution efficiency and infrastructure performance.

- Manage live trading portfolios, including monitoring performance, managing risk exposure, and adapting strategies to evolving market conditions.

- Improve and refine existing strategies through data-driven insights, signal enhancement, and execution optimization.

- Collaborate with quant developers, researchers, and technology teams to enhance trading architecture and research pipelines.

- Develop robust risk management frameworks and ensure compliance with exchange and regulatory requirements.

- Contribute to the expansion of trading strategies across new instruments, exchanges, and geographies.

Experties Required:

- Extensive experience building and managing algorithmic, high-frequency, or systematic trading strategies.

- Strong background in quantitative research, statistical modeling, and advanced mathematics.

- Proficiency in Python, C++, or Java for developing trading systems and research infrastructure.

- Deep understanding of market microstructure and electronic trading.

- Experience trading or researching Futures, Options, Equities, Commodities, or FX markets.

- Hands-on experience working with high-frequency data, backtesting frameworks, and real-time trading systems.

- Proven ability to deploy and manage profitable trading strategies in live markets.

- Strong problem-solving skills with a data-driven mindset and high attention to detail.

- Ability to operate effectively in fast-paced, performance-driven trading environments.

- Bachelors or Masters degree in Computer Science, Mathematics, Physics, Quantitative Finance, Statistics, or related quantitative disciplines.