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
Quantitative Finance, Data & AnalyticsIndustries
Requirements
Applicants must have advanced degrees from top universities in science and engineering, preferably in Statistics, Mathematics, Computer Science, Electrical Engineering, or Physics. They should have formal training in independent academic research and 1-3 years of work experience in systematic alpha research or equity trading. Proficiency in at least one programming language such as C/C++ or Python/R is required. A solid understanding of data science and knowledge of statistical modeling, machine learning, econometrics, or optimization is necessary. Candidates should demonstrate critical thinking, effective communication skills, and the ability to work collaboratively in a fast-paced environment.
Responsibilities
The Junior Quantitative Researcher will support and improve existing trading strategies. They will assist senior quantitative researchers in the design, research, and development of quantitative strategies across global futures, stock, options, and cryptocurrency markets. The role involves statistically analyzing large-scale tick-by-tick financial data to extract alpha patterns.
Skills
C/C++
Python
R
Statistical Modeling
Machine Learning
Econometrics
Optimization
Data Science
Tick-by-tick data analysis
Alpha patterns
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.
Key Metrics
New York City, New YorkHeadquarters
1998Year Founded
$60MTotal Funding
VENTURE_UNKNOWNCompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees