Quantitative Strategy Developer Graduate: 2027 (London)

Amsterdam Quant Society

Greater London

Hybrid

GBP 55,000 - 85,000

Full time

26 hours ago
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Job summary

Susquehanna in London is recruiting a Quantitative Strategy Developer Graduate for 2027. The role emphasizes signal creation, strategy analysis, and low-latency development using Python and C++, plus data analysis to support trading decisions.

You will build systems that support active trading and quantitative analysis, work on signal creation and detection, and collaborate desk-side with senior developers during multiweek education before placement on a trading team aligned with your interests.

Qualifications

  • Class of 2027 in a quantitative or STEM discipline
  • Strong Python and a compiled language
  • Experience with Pandas, Polars, or NumPy

Responsibilities

  • Build systems supporting active trading and quantitative analysis
  • Work on signal creation and detection
  • Work desk-side with senior developers

Skills

Python
C++

Education

Bachelors/Masters in quantitative or STEM

Tools

Pandas
Polars
NumPy

Job description

Quantitative Strategy Developer Graduate: 2027 (London)

Graduate quant development role in signal creation, strategy analysis, low-latency C++, Python, data analysis, and desk-side trading systems.

  • Build systems supporting active trading and quantitative analysis.
  • Work on signal creation and detection.
  • Work desk-side with senior developers.
What Susquehanna looks for
  • Class of 2027 bachelor's or master's students in a quantitative or STEM discipline.
  • Strong Python plus a compiled language.
  • Experience with Pandas, Polars, or NumPy.
  • Exceptional quantitative, logical-reasoning, and analytical skills.

Coding, mathematics, system-design, and behavioural interviews. The programme begins with multiweek education before placement on a trading team aligned with the graduate's interests and background.

Details

Role information

Location London, United Kingdom

Job type Graduate

Category Software Engineering

Experience Graduate

Company

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

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