Quantitative Research Intern
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Job Description
About Company:
The job description doesn’t explicitly detail company information, but it’s for Susquehanna International Group (SIG), a global quantitative trading firm. The text emphasizes a comprehensive education program, mentorship, and collaboration, hinting at a strong focus on learning and development.
Job Description:
This is for a Quantitative Research Intern position at Susquehanna. The internship program is designed to provide a realistic experience of the work done by full-time quantitative researchers and build foundational knowledge in quantitative finance.
Key Responsibilities and Activities:
• Modelling: Developing predictive models using probability theory, statistical analysis, and machine learning to identify market opportunities (alphas).
• Execution: Designing and implementing strategies for executing modelling ideas, likely in a simulated trading environment.
• Evaluation: Backtesting strategies using historical market data to assess performance and refine models.
• Breadth: Exploring various aspects of quantitative work and different areas within Susquehanna’s business.
• Education: Participating in a structured education program and receiving personalized mentorship from experienced professionals.
• Collaboration: Working in a collaborative environment to interact with different teams and gain exposure to various parts of the business.
Key Aspects of the Internship Program:
• Comprehensive education program.
• Personalized mentorship.
• Opportunity to build alphas on an actual trading strategy.
• Exposure to all aspects of quantitative work and different areas of Susquehanna’s business.
Candidate Requirements:
• Education: PhD students (in their penultimate or final year) in quantitative fields (e.g., Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics).
• Skills:
• Strong analytical problem-solving skills and logical reasoning.
• Passion for turning data into decisions.
• Clear communication skills for a fast-paced, collaborative environment.
• Programming skills in Python for processing and analyzing large datasets. C++ (or another low-level language) experience is a plus.
• Strategic thinking skills, demonstrated by interest in strategic games and/or competitive activities.
• Self-motivation and ability to learn quickly in a dynamic environment.
Application Information:
• Applying to this role automatically considers candidates for the Quantitative Systematic Trading Internship program.
• Recruiting begins in July.
