Quantitative Research Intern — High-Frequency Trading

Quant Blueprint LLC

New York, Chicago, Miami (NY, IL, FL)

On-site

USD 120,000 - 200,000

Full time

14 days+
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Benefits offered by this job

5 weeks of paid vacation
Free meals daily
Reimbursement for health and wellness expenses

Job summary

Tower Research Capital, located in New York, is seeking a talented Quantitative Trader/Researcher to develop algorithmic trading strategies. The ideal candidate has a strong background in mathematics and statistics, with proficiency in Python or C++. The role involves designing trading algorithms, researching market data, and developing analytical tools.

The anticipated annual salary range is between $120,000 and $200,000, with additional bonuses. The company offers 5 weeks of paid vacation, free meals, and health expense reimbursements.

Qualifications

  • Experience in quantitative trading is preferred but not a requirement.
  • Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data.
  • Familiarity with signal generation and statistical models.

Responsibilities

  • Designing, implementing and deploying trading algorithms.
  • Researching high to mid frequency alphas.
  • Exploring trading ideas by analyzing market data.

Skills

Quantitative analysis
Data-mining
Programming in Python
Statistical techniques
Back-testing

Education

Bachelor’s, Master’s or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree

Job description

Tower Research Capital, located in New York, is seeking a talented Quantitative Trader/Researcher to develop algorithmic trading strategies. The ideal candidate has a strong background in mathematics and statistics, with proficiency in Python or C++. The role involves designing trading algorithms, researching market data, and developing analytical tools.

The anticipated annual salary range is between $120,000 and $200,000, with additional bonuses. The company offers 5 weeks of paid vacation, free meals, and health expense reimbursements.

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