Quant jobs / Susquehanna International Group (SIG)

Quantitative Systematic Trader – PhD 2026

A graduate role that mixes quant research with trading knowledge to develop and monitor electronic strategies. It starts with an orientation programme and includes a secondment to the Philadelphia office.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Investigate ideas in market data and look for patterns that could be signals
Backtest signals and assess their strength
Work with technologists to put profitable signals into production
Monitor live strategy performance and bring feedback to researchers and traders

What they ask for

Required

Analytical problem solving
Logical reasoning
Python for large datasets
Strong communication
Ability to work in a fast-paced setting
PhD in a quantitative field

Preferred

C++ or other low-level languages
Interest in strategic games

Education: PhD in a quantitative field such as maths, physics, statistics, engineering, CS, operations research or economics
Experience: New graduates; no finance experience required
Languages and tools: Python
C++
Markets: options

How to prepare

Build a signal from public data and backtest it with realistic costs
Learn the basics of option pricing, as the orientation covers it
Practise probability and expected-value puzzles
Write a short note defending a result to a sceptical reader

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Susquehanna International Group (SIG)’s site before applying: requirements, location and pay can change after we check them.

View the posting on Susquehanna International Group (SIG)’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Susquehanna International Group (SIG) and doesn’t handle applications.