PhD Quant Trading Internship — Build Alphas with Mentors

Susquehanna International Group

New York (NY)

On-site

USD 348,257 - 434,343

Full time

14 days+
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Benefits offered by this job

Signing bonus
Housing
Breakfast and lunch

Job summary

Susquehanna International Group is seeking a Quantitative Systematic Trading Intern for their New York office. This role involves applying probability theory and machine learning techniques to predict market behavior and generate trading alphas. You will participate in a unique education program and collaborate with various teams.

Ideal candidates are PhD students in quantitative fields, experiencing problem-solving and programming large data sets in Python. With a $8,600 weekly base salary and additional perks, this internship provides a pathway to full-time opportunities.

Qualifications

  • PhD candidates in quantitative fields.
  • Strong analytical and problem-solving skills.
  • Experience with large data sets in Python.

Responsibilities

  • Apply probability theory and statistical analysis to model market behavior.
  • Create strategies for executing modeling ideas in competition.
  • Backtest and revise strategies using historical market data.
  • Collaborate across teams within the firm.

Skills

Analytical problem-solving
Logical reasoning
Python
C++
Statistical analysis
Machine learning

Education

PhD in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics

Tools

Data processing tools

Job description

Susquehanna International Group is seeking a Quantitative Systematic Trading Intern for their New York office. This role involves applying probability theory and machine learning techniques to predict market behavior and generate trading alphas. You will participate in a unique education program and collaborate with various teams.

Ideal candidates are PhD students in quantitative fields, experiencing problem-solving and programming large data sets in Python. With a $8,600 weekly base salary and additional perks, this internship provides a pathway to full-time opportunities.

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