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Quant Developer (Python)

Squarepoint Capital Open
London HoustonMadrid +2 Mid-level Data Science

At a glance

Mid-level Data Science role at Squarepoint Capital. London · no salary stated · we estimate £70,750–£131,900.

Estimated pay

Squarepoint Capital has not published a salary for this role. The figure below is our estimate, not theirs.

£70,750 – £131,900
What the middle half of mid-level data science roles in London paid, among postings that did state a salary.
Worked out from 8 postings that stated pay, median £91,250. Last updated Oct 26, 2026.
RoleData Science
SeniorityMid-level
LocationLondon
PostedOct 23, 2019
Also hiring inHouston, Madrid, Montreal, Warszawa
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build efficient, scalable research and trading workflows alongside quantitative researchers
  • Coordinate with technology peers to keep software consistent across teams and encourage component reuse
  • Guide projects from initial design through implementation, release and ongoing engineering work
  • Provide second-level support for critical software components

What you bring

  • A degree in applied math, physics, engineering, quantitative finance or another listed field
  • At least four years working with Python, C++ or KDB+/q
  • Knowledge of finance and of storing, processing and analyzing data
  • Experience with version control and agile software development, plus strong technical communication

Who this fits

This role suits a mid-level developer who wants to work closely with quantitative researchers and technology teams across asset classes. It is based in London.

From the employer

Position Overview:

The Quantitative Development team works directly with quantitative researchers to design, implement, deploy and use software for research and trading. As part of the technology team, the team follows modern software development principles and works with peers in technology to mature and evolve these tools for wider use. Quantitative developers drive cross-team initiatives with technologists and quantitative researchers across all asset classes to achieve Squarepoint’s objectives.

  • Work with quantitative researchers to design and build efficient and scalable workflows for research and trading
  • Collaborate closely with team members and peers in technology to ensure global consistency and maximize re-use of software components
  • Assume strong ownership of projects throughout their full engineering lifecycle
  • Provide level 2 support for critical components

Required qualifications:

  • Degree in applied math, physics, engineering, quantitative finance, computer science
  • 4 or more years’ experience with Python, C++, or KDB+/q
  • Knowledge of finance, data storage, processing and analysis
  • Experience with modern software development: version control, agile development
  • Excellent technical communication skills

Nice to have:

  • Advanced quantitative skills
  • Experience with requirements analysis and designing software solutions
  • Experience with continuous integration (CI), logging and monitoring systems
  • Database experience

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.