Our client is a leader in the thriving field of high-frequency trading collaborating with bright minds from around the world to create cutting-edge technology and tackle challenging technical problems. 

Responsibilities

Our traders execute lightning-fast algorithmic strategies based on patterns in market behavior in over 150 markets worldwide. As a Quantitative Trader, you'll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets.

Your responsibilities may include any of the following, which will require you to exercise discretion and independent judgment:

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analyzing market data and market microstructure for patterns
• Creating tools to analyze data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators
• Communicating with internal and external trade support, market centers, and other parties to handle real-time trading issues and improve understanding of specific markets
• Shaping the future of Tower through regular interviewing and infrequent campus recruiting trips

Additional Requirements Include
 

• Brilliant problem-solving abilities
• Software development experiences as demonstrated through course work, research projects, or open source activities, preferably in C++ or Java
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• A working knowledge of Linux/Unix
• Experience with machine learning (a plus)

Financial experience is not required but interest in financial markets is a plus.
 

Industry

• Information Technology & Services

• Computer Software

• Financial Services