Quantitative Analyst II
AffirmFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The role is onsite, though a flexible work schedule arrangement is possible.
Required skills include familiarity with Linux environments and proficiency in Python or Bash scripting, in-depth knowledge of trading rules and regulations for various asset classes, prior experience in quantitative trading (highly preferred), strong analytical thinking, problem-solving, execution skills, and excellent English communication.
The role involves a fast-paced environment with flexible scheduling, overtime during holidays, and night or weekend shifts as needed, emphasizing teamwork, responsibility, and collaboration with technology and strategy teams.
A Bachelor's degree or higher, prior quantitative trading experience, proficiency in Python or Bash and Linux, deep knowledge of trading regulations across asset classes, and strong analytical, problem-solving, communication, and teamwork skills are key to standing out.
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.