Ultra-Low Latency Quant Researcher

Tradermath

Chicago (IL)

On-site

USD 150,000 - 250,000

Full time

35 hours ago
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Benefits offered by this job

Generous paid time off
Hybrid working opportunities
Breakfast, lunch, snacks

Job summary

Tower Research Capital seeks a highly skilled quantitative researcher/developer to build ultra-low latency trading tools and research market opportunities. You will work on market data analysis, latency requirements, and alpha horizons, plus calibration of exchange simulators to replay events.

The role emphasizes machine learning, low-latency trading, and C++/Python proficiency with the expectation to work onsite several days weekly in our Chicago-area operations. Equal opportunity employer.

Qualifications

  • Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science or related field.
  • Five (5) years of experience in a Quantitative Researcher or Quantitative Developer position or related occupation.
  • Experience with machine learning modeling, low latency trading, and C++/Python.

Responsibilities

  • Creating analysis tools to research trading opportunities from market data, identifying latency requirements, alpha horizons, and PNL impact.
  • Developing, augmenting and calibrating exchange simulators to replay market events.
  • Researching market microstructure and creating high to mid frequency alphas.
  • Profiling performance of ultra-low latency trading strategies and deploying new strategies.
  • Creating post-trade tools to monitor trading performance and competitiveness.
  • Must be able to work onsite at the corporate office 3 or more days per week.

Skills

Machine learning modeling
Low latency trading
Mathematics and statistics
Financial instruments and their deriv.
CME microstructures
Python for scientific computing
C++ language

Education

Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science or related field

Job description

Tower Research Capital seeks a highly skilled quantitative researcher/developer to build ultra-low latency trading tools and research market opportunities. You will work on market data analysis, latency requirements, and alpha horizons, plus calibration of exchange simulators to replay events.

The role emphasizes machine learning, low-latency trading, and C++/Python proficiency with the expectation to work onsite several days weekly in our Chicago-area operations. Equal opportunity employer.

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