Senior PM / Trader / Quant
Tanius Technology- Full Time
- Senior (5 to 8 years)
Candidates should possess advanced degrees from top universities in science and engineering, preferably in Statistics, Mathematics, Computer Science, Electrical Engineering, or Physics. Formal training in independent academic research is required. Proficiency in at least one programming language such as C/C++ or Python/R is necessary. A solid understanding of data science fundamentals and familiarity with statistical modeling, machine learning, econometrics, or optimization is essential. Candidates must demonstrate critical thinking skills and be motivated to work in a fast-paced environment.
The Quantitative Researcher Intern will assist senior quantitative researchers in designing and developing quantitative strategies for global futures, stocks, and options markets. They will statistically analyze large-scale tick-by-tick financial data to extract alpha patterns.
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.