Quant Research Intern: Build Alphas with Top Mentors

Susquehanna International Group

Bala Cynwyd (PA)

On-site

USD 27,552 - 41,328

Full time

14 days+
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Job summary

Susquehanna International Group is hiring a Quantitative Research Intern located in Bala Cynwyd, Pennsylvania. This role involves applying quantitative skills to model market behavior, execute strategies, and backtest ideas using historical data. Candidates should be pursuing a Master's degree in relevant fields like Mathematics or Computer Science and possess strong programming skills in Python. The internship offers extensive mentorship and collaborative opportunities to enhance core knowledge in quantitative finance.

Qualifications

  • Masters (in penultimate or final year) in quantitative fields.
  • Strong analytical problem-solving skills.
  • Ability to communicate clearly in a collaborative environment.
  • Experience programming in Python; familiarity with C++ is a plus.
  • Interest in strategic games and competitive activities.
  • Self-motivated and adaptable to fast-paced environments.

Responsibilities

  • Apply probability theory and statistical analysis to model market behavior.
  • Create execution strategies based on modelling ideas.
  • Backtest ideas with historical market data and refine strategies.
  • Explore various quant work areas within the company.
  • Participate in a comprehensive education program.
  • Collaborate with different teams and groups within the business.

Skills

Analytical problem-solving
Clear communication
Programming in Python
Data analysis
Strategic thinking
Machine learning techniques

Education

Masters in quantitative fields (Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Economics)

Tools

Python
C++

Job description

Susquehanna International Group is hiring a Quantitative Research Intern located in Bala Cynwyd, Pennsylvania. This role involves applying quantitative skills to model market behavior, execute strategies, and backtest ideas using historical data. Candidates should be pursuing a Master's degree in relevant fields like Mathematics or Computer Science and possess strong programming skills in Python. The internship offers extensive mentorship and collaborative opportunities to enhance core knowledge in quantitative finance.
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