Senior PM / Trader / Quant
Tanius TechnologySalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Quantitative FinanceIndustries
Requirements
Candidates should have a Bachelor's degree or higher in computer science or a related technical area. They must have 1-3 years of experience in programming for a professional setting. Proficiency in Python and its scientific computing ecosystem is preferred, along with familiarity with the data engineering ecosystem. Experience in processing financial data, machine learning, and knowledge of quantitative research and trading are considered a plus. Candidates should also demonstrate fast, rigorous, and critical thinking skills, effective communication, and a strong sense of teamwork while being highly motivated to thrive in a fast-paced environment.
Responsibilities
The Junior Quantitative Developer will design, develop, maintain, and optimize in-house research data platforms, ensuring reliable and high-quality data sources for quantitative researchers. They will establish protocols for data management, streamline processes, and work with external partners to onboard new datasets. Additionally, they will conduct domain-specific data analysis and collaborate with quant researchers to evaluate new data sources while developing and maintaining quantitative research tools.
Skills
Python
NumPy
Pandas
Arrow
Data Engineering
Financial Data
Machine Learning
Quantitative Research
Data Analysis
Data Mining
Critical Thinking
Communication
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