Master’s Quant Trading Intern – Mentored & Data-Driven

SIG Susquehanna

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
Lunch

Job summary

SIG Susquehanna is offering a Quantitative Systematic Trading Internship in New York. Interns will work on projects that model the work of full-time employees and participate in an extensive educational program paired with mentorship.

The role involves applying statistical analysis and machine learning to market behavior, strategy execution, and backtesting methodologies. Candidates should be pursuing a Master’s in a quantitative field and have programming skills in Python.

Compensation includes a weekly base salary of $8600, along with a signing bonus and other perks.

Qualifications

  • Masters (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
  • Self-motivated and quick to learn, thriving in a dynamic, fast-moving environment.
  • Clear communicators in a fast-paced and highly collaborative environment.

Responsibilities

  • Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas.
  • Create strategies to execute on modelling ideas under simulated competition.
  • Backtest ideas using historical market data and revise strategies.

Skills

Analytical problem-solving
Python programming
Statistical analysis
Machine learning
Logical reasoning

Education

Master's in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics

Tools

Python
C++

Job description

SIG Susquehanna is offering a Quantitative Systematic Trading Internship in New York. Interns will work on projects that model the work of full-time employees and participate in an extensive educational program paired with mentorship.

The role involves applying statistical analysis and machine learning to market behavior, strategy execution, and backtesting methodologies. Candidates should be pursuing a Master’s in a quantitative field and have programming skills in Python.

Compensation includes a weekly base salary of $8600, along with a signing bonus and other perks.

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