Senior PM / Trader / Quant
Tanius TechnologySalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Quantitative Finance, Data & AnalyticsIndustries
Requirements
Candidates must have 3-5 years of work experience in systematic alpha research or equity trading. A good track record of innovative thinking and problem solving is essential. Candidates should hold 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 of the following programming languages - C/C++ or Python/R is necessary. Strong communication skills, rigor, patience, and a sense of teamwork are important, along with a high level of motivation to work in a fast-paced environment.
Responsibilities
The Mid-level Quantitative Researcher will apply rigorous statistical analysis to large volumes of market and financial data to create predictive trading models and strategies. They will perform full research and development cycles for global equity quantitative trading, which includes idea generation, data cleaning, strategy backtesting, portfolio optimization, risk management, and production monitoring.
Skills
C/C++
Python
R
Statistical Analysis
Data Cleaning
Strategy Backtesting
Portfolio Optimization
Risk Management
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