Quantitative Developer

Principal quantitative investment business, established in 2016 as one of its core investment strategies. Subsequently evolved into one of the most successful trading teams in the industry. We are a tight-knit, collaborative, and intellectually rigorous group of scientists, engineers, and traders leveraging advanced statistical modeling techniques to identify and capitalize on profitable trading opportunities in global equities, options, and futures. What sets us apart is our pragmatic, engineering-driven culture, where achieving goals—and achieving them the right way—takes precedence.

We foster collaboration among colleagues, confident that the best ideas arise through cross-disciplinary exchange. Our commitment to continuous self-reflection and growth drives us to build the strongest possible platform for our team's future success. We are seeking talented developers to help elevate our capabilities and join us on this journey. This role offers the opportunity to engage directly with cutting-edge distributed systems, platform development, and operation of fully automated trading systems.

Additionally, you will gain valuable experience in data analysis and quantitative finance. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits for our investors. We invite developers with a proven record of innovation and achievement in their fields to apply.

This role offers the opportunity to engage directly with cutting-edge distributed systems, platform development, and operation of fully automated trading systems.

• Quantitative Development:
  Work directly as a member of the Quantitative Development team, collaborating daily with other Quantitative Developers, Researchers, and Portfolio Managers.
• Platform Evolution:
  Provide software contributions to evolve the platform and support daily alpha construction and trading, including:
• Developing proprietary trading systems, data platform, service-based architecture, machine learning platforms, and simulation tooling.
• Creating and monitoring data pipelines and strategy execution.
• Strategy Development:
  Work directly with traders and researchers to build new proprietary trading strategies and signals.
• Data Analysis:
  Extract and analyze large datasets from a variety of structured and unstructured sources to identify patterns and anomalies that inform trading decisions.
• Statistical Modeling:
  Build and improve machine learning and optimization systems used to make predictions or risk manage portfolios.
• Research Tools:
  Build and maintain sophisticated tools and software to facilitate data analysis, modeling, portfolio simulation, and trade execution.

• Bachelor’s or advanced degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.

• Strong ability to prioritize and multi-task.
• Demonstrated ability to think independently, build creative approaches to complex problems, and articulate those ideas clearly through verbal, written, and visual media.
• Programming proficiency, preferably in Java, Python, and/or R, as well as databases and/or query languages.
• Experience in UNIX/Linux/BSD environments required.
• Familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, Tensor Flow, PyTorch, etc.) recommended.

• Experience in quantitative finance or trading.
• Knowledge of financial markets and instruments.