Quant Credit Intern - PA (Hybrid) - December 2026

Required

• Currently studying, or recently completed, a degree in Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science or another quantitative field.
• Strong coding skills, particularly Python.
• Experience working with data and quantitative analysis.
• A good understanding of statistics and probability.
• Comfortable using modern coding and AI development tools.
• Strong problem-solving skills and attention to detail.
• Curious, self-motivated and comfortable working independently.
• An interest in markets and trading.
• A combination of Computer Science and Mathematics / Statistics would be particularly relevant, although we are open to candidates from a range of quantitative backgrounds.
• Graduate-level study is helpful but not required.,You do not need to have worked in Credit or financial markets before.
• We care more about whether you can code, work with data and think through quantitative problems. Previous experience or coursework in markets, quantitative finance, machine learning or trading is useful, but not essential.