PhD Quantitative Trading Intern — Summer 2027 (Mentorship)

SIG Susquehanna; New York (NY); On-site; USD 348,257 - 434,343; Full time

Benefits offered by this job

Signing bonus

Housing

Breakfast and lunch

Job summary

SIG Susquehanna is offering a Quantitative Systematic Trading Internship in New York, where you will model trading strategies and receive mentorship from industry experts. The program emphasizes collaboration in an open environment and covers all aspects of quantitative trading.

Ideal candidates are PhD students in quantitative fields who are analytical problem-solvers with programming expertise in Python and a passion for strategic thinking. Interns will earn a competitive $8600 weekly base salary plus additional perks.

Qualifications

• Must be in penultimate or final year of a PhD program.
• Ability to apply probability theory and statistical techniques.
• Strong communication skills in collaborative work environments.

Responsibilities

• Model market behavior using data analysis and machine learning.
• Execute strategies based on quantitative models.
• Backtest strategies with historical market data.
• Collaborate with multiple teams across the organization.

Skills

Analytical problem-solving

Statistical analysis

Machine learning

Python programming

C++ programming

Logical reasoning

Education

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

Job description

SIG Susquehanna is offering a Quantitative Systematic Trading Internship in New York, where you will model trading strategies and receive mentorship from industry experts. The program emphasizes collaboration in an open environment and covers all aspects of quantitative trading.

Ideal candidates are PhD students in quantitative fields who are analytical problem-solvers with programming expertise in Python and a passion for strategic thinking. Interns will earn a competitive $8600 weekly base salary plus additional perks.