Senior PM / Trader / Quant
Tanius Technology- Full Time
- Senior (5 to 8 years)
Candidates should have experience in writing C++ in a large-scale codebase for a professional setting and proficiency in Python programming. Work experience with low latency trading platforms, familiarity with cloud platforms such as AWS, and knowledge of ReactJS and Node.js are considered a plus. Candidates must possess strong communication skills, critical thinking abilities, and a sense of teamwork, along with being highly motivated and able to thrive in a fast-paced environment.
The Quantitative Developer Intern will design and implement low-latency live trading platforms in C++ and develop a high-performance backtesting research framework within a cloud computing ecosystem.
High-frequency trading and technology solutions
Tower Research Capital operates in the financial markets by providing high-frequency trading services. The company uses advanced technology and algorithms to execute trades at very high speeds, allowing it to take advantage of small price discrepancies in the market. Its main clients are institutional investors, hedge funds, and other financial entities that need fast and reliable trading solutions. Tower Research Capital's business model focuses on generating profits through proprietary trading strategies and executing a large volume of trades with minimal delay. The company continually invests in research and development to stay ahead of its competitors in the high-frequency trading industry.