Senior PM / Trader / Quant
Tanius TechnologySalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Quantitative FinanceIndustries
Requirements
Candidates should possess an advanced degree from a top university in a relevant field such as 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 knowledge in statistical modeling, machine learning, econometrics, or optimization is essential. Candidates should demonstrate critical thinking skills, effective communication abilities, and a strong sense of teamwork. A high level of motivation and the ability to thrive in a fast-paced environment are also required.
Responsibilities
The Quantitative Researcher Intern will assist senior quantitative researchers in the design and development of quantitative strategies for global futures, stocks, and options markets. They will perform statistical analyses on large-scale tick-by-tick financial data to identify alpha patterns.
Skills
C/C++
Python
R
Statistical Modeling
Machine Learning
Econometrics
Optimization
Data Science
Critical Analysis
Teamwork
Tower Research Capital
High-frequency trading and technology solutions
About Tower Research Capital
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.
New York City, New YorkHeadquarters
1998Year Founded
$60MTotal Funding
VENTURE_UNKNOWNCompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees