Quantitative Trader - Graduate: 2027

Amsterdam Quant Society; Greater London; Hybrid; GBP 32,000 - 42,000; Full time

Job summary

Susquehanna International Group (SIG) in London offers a graduate quantitative trading programme with desk placement and exposure to live strategies. You will start by learning risk management and receive ETF and options education, game theory, programming, and trading simulations.

Join a hands-on learning path with project work and mentorship from senior traders, designed for soon-to-graduate students aiming to enter the trading industry.

Qualifications

• Soon-to-be or recently graduated students available in June 2027.
• Strong problem-solving.
• Clear communication and collaboration.
• Ambition and willingness to learn.
• No finance background is required.

Responsibilities

• Join a trading desk and gain exposure to live strategies.
• Begin managing risk within the first few months.
• Train in ETF and options trading, game theory, programming, finance, and mock trading.
• Complete hands-on project work and trading simulations with senior traders.

Skills

Problem solving

Clear communication

Collaboration

Ambition

Willingness to learn

Job description

Graduate quantitative trading programme with desk placement, risk management, ETF and options education, game theory, programming, and trading simulations.

• Join a trading desk and gain exposure to live strategies.
• Begin managing risk within the first few months.
• Train in ETF and options trading, game theory, programming, finance, and mock trading.
• Complete hands-on project work and trading simulations with senior traders.

What Susquehanna looks for

• Soon-to-be or recently graduated students available in June 2027.
• Strong problem-solving.
• Clear communication and collaboration.
• Ambition and willingness to learn.

No finance background is required.

Details

Role information

Location London, United Kingdom

Job type Graduate

Category Quant Trading

Experience Graduate

Company

Global quantitative trading firm integrating trading, technology, quantitative research, machine learning, and decision science, with a major focus on derivatives.