Quantitative Trading & Research Intern — High-Freq Algos

Risk Hub

New York, Chicago (NY, IL)

Presencial

USD 159.000 - 259.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Compensation package
Housing
Meals provided
Networking events
Mentors

Descripción de la vacante

Tower Research Capital is seeking a talented student intern for a quant/engineering role in New York. You will design, implement, and deploy high-frequency trading algorithms, analyze market data, and build tools to study patterns in microstructure.

Ideal candidates are pursuing a Bachelor's/Master's/PhD in CS, math, physics or EE, proficient in C++ and Python, with strong Linux skills and a passion for financial markets. Excellent collaboration and communication are essential.

Formación

  • Pursuing a degree in CS, mathematics, physics, or electrical engineering or related fields.
  • Proficient in an object-oriented programming language (C++ and Python preferred).
  • Working knowledge of Linux/Unix.
  • Strong problem-solving abilities.
  • Interest in financial markets.

Responsabilidades

  • Designing, implementing, and deploying high-frequency trading algorithms.
  • Exploring trading ideas by analyzing market data and market microstructure for patterns.
  • Creating tools to analyze data for patterns.
  • Contributing to libraries of analytical computations to support market data analysis and trading.
  • Developing, augmenting, and calibrating exchange simulators.

Conocimientos

C++
Python
Linux/Unix
Problem-solving
Financial markets
Communication

Educación

Bachelor’s/Master’s/PhD student

Descripción del empleo

Tower Research Capital is seeking a talented student intern for a quant/engineering role in New York. You will design, implement, and deploy high-frequency trading algorithms, analyze market data, and build tools to study patterns in microstructure.

Ideal candidates are pursuing a Bachelor's/Master's/PhD in CS, math, physics or EE, proficient in C++ and Python, with strong Linux skills and a passion for financial markets. Excellent collaboration and communication are essential.

Consigue la evaluación confidencial y gratuita de tu currículum.

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