Quantitative Developer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

An external portfolio manager at Schonfeld is seeking highly qualified and talented Quantitative Developers to join them. In this role you will work directly with some of the best and most experienced researchers and technologists in the quantitative trading industry. You’ll work collaboratively to contribute to our cutting-edge trading and research infrastructure. You will have the opportunity to work on the end-to-end platform helping to manage market data, execution, simulation, data transformation, positions and risk. The ideal candidate enjoys keeping updated with the latest technologies and distributed systems and would look to bring on the relevant technologies to help the team continue to be bleeding edge.

The team was founded in 2014 and is built on a successful track record of trading systematic strategies powered by scientific and cutting-edge technologies. The team is consisted of successful portfolio managers from top quantitative funds, top-notch machine learning researchers, statistics professors from academia and excellent technologist previously from high-frequency trading space. The team focuses on statistical arbitrage strategies trading global futures and has achieved high return and Sharpe every single year since inception. We are constantly looking for improvements to power and evolve our research and trading platform to expand our success story.

What you’ll do 

In this role, you will:

• Directly contribute to the development of our market data, signals prediction and trading platform
• Apply hands-on software development towards our high-frequency trading systems
• Design, implement and integrate distributed systems that directly participate in the financial markets
• Develop and build low-latency applications to process tick-level market data

What you’ll bring

What you need:

• Experience with Low-level computer languages like C/C++ and experience with Linux/Unix operating systems
• Understanding of data structures, algorithmic complexities, and numerical algorithms
• Ability to communicate effectively in a collaborative, complex and highly technical team environment
• Intellectual curiosity and passion for solving challenging problems using technology