Software Engineer at GResearch
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

04 May, 25

Salary

0.0

Posted On

05 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Computer Software/Engineering

Description

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.
We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This is a role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.

WHO ARE WE LOOKING FOR?

We are looking for the world’s foremost engineers and take recruitment of the best talent very seriously.
Most of our systems are written in Kotlin, but we also heavily use C# and Python. We utilise modern web, distributed and big data technologies, meaning we have a broad range of software engineering challenges for the right person.
This is an opportunity to be part of our journey to build a world-leading software engineering practice. We are working hard to embed a continuous improvement culture and philosophy across the organisation, striving to learn from the best practitioners in the industry.
Candidates with non-quant or finance experience are encouraged to apply

Responsibilities

We are seeking a Software Engineer to join our Tick Analytics Group and provide raw and aggregated time series market data to Research and other relevant Functions within G-Research.

Key responsibilities of the role include:

  • Contributing to the evolution and successful operation of a world-class trading system for client use
  • Designing and building solutions that drive value for our petabyte-scale data platform
  • Continuously exploring and developing solutions to improve data and compute throughput at scale
  • Demonstrating software engineering best practices
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