Susquehanna International Group (SIG) has launched its 2027 recruitment cycle for quantitative trading interns, offering compensation packages that reach $86,000 for a 10-week program. The firm is targeting PhD students in their final or penultimate years to fill these roles, maintaining its position as one of the highest-paying employers in the competitive proprietary trading sector.
How Susquehanna Structures Intern Compensation
The $86,000 figure for a 10-week internship translates to an annualized salary of approximately $447,000. According to the firm’s official careers portal, these roles are primarily based in suburban Philadelphia, where the company maintains its global headquarters.
Unlike traditional investment banks that often structure internships around summer analyst programs, Susquehanna’s quantitative trading internships focus on mathematical modeling, game theory, and probability. The firm utilizes a rigorous assessment process, often requiring candidates to demonstrate high-level proficiency in mental math and strategic decision-making through proprietary testing modules.
Why Proprietary Trading Firms Pay Premium Wages
The aggressive compensation strategy at firms like Susquehanna reflects the scarcity of talent capable of building high-frequency trading algorithms. Data from levels.fyi, a crowdsourced salary database, confirms that top-tier proprietary trading shops—including Citadel Securities, Jane Street, and Hudson River Trading—consistently offer intern packages that exceed the base salaries of entry-level associates in bulge-bracket investment banking.
This compensation model is designed to secure high-value recruits before they graduate. By targeting PhD students in fields like physics, mathematics, and computer science, Susquehanna aims to integrate researchers directly into their desk operations. These interns work on live trading strategies, providing the firm with a mechanism to evaluate potential full-time hires in a real-world environment.
Comparison of Internship Compensation Trends
The market for quantitative talent has seen a steady increase in base pay over the last three years. While the $86,000 figure represents the standard for top-tier PhD quantitative roles, it sits alongside broader industry trends:
| Firm Category | Typical Intern Compensation (Pro-rated) | Primary Focus |
|---|---|---|
| Proprietary Trading | $80,000 – $95,000 | Algorithmic Strategy |
| Bulge Bracket Banks | $30,000 – $45,000 | Investment Banking/Sales |
| Big Tech (Quantitative) | $45,000 – $60,000 | Software Engineering |
Note: Figures are estimates based on standard 10-week summer internship durations.
What Applicants Should Expect
The recruitment process for these roles is noted for its difficulty. Candidates are typically evaluated on their ability to apply statistical analysis to market data. According to SIG’s recruitment guidelines, the firm emphasizes "decision science," a framework developed by the company’s founder, Jeff Yass, which encourages employees to think in terms of probability and expected value rather than simple outcomes.
Applicants for the 2027 cohort are expected to have a strong background in stochastic calculus and programming languages, specifically C++. The firm requires candidates to submit applications through its online portal, which then triggers a series of online assessments designed to filter for candidates with advanced quantitative reasoning skills. Those who pass the initial screening are typically invited to technical interviews conducted by current traders and researchers at the firm.