Overview
G MASS are currently looking for an experienced Software Engineer to join a leading Investment Manager client on an initial 6-month engagement. This role sits within a core engineering team at the centre of a highly quantitative investment environment, supporting the technology and data platforms that underpin systematic trading strategies and advanced research. You will be working in a fast-paced, data-driven environment where engineering plays a critical role in enabling investment teams to access, process and utilise large volumes of market and research data.
Responsibilities
- Design, develop and enhance large-scale data and infrastructure platforms supporting trading and research.
- Build and maintain systems capable of processing large volumes of data from numerous global sources.
- Work closely with researchers, traders and engineers to ensure platforms effectively support investment workflows.
- Contribute to improving the scalability, performance and reliability of distributed systems.
- Develop and maintain services primarily using Java and Python.
- Work across modern data and messaging technologies including Kafka, ArcticDB and MongoDB.
Qualifications
- Degree in a quantitative/technical field (e.g. Computer Science, Mathematics, Engineering or Physics)
- 5+ years’ software engineering experience using Java or Python
- Strong Linux and Git knowledge
- Experience with modern databases (e.g. Postgres, MongoDB or similar)
- Strong problem-solving skills and attention to detail
- Able to work independently and collaborate with stakeholders
Nice to have
- Exposure to distributed systems
- Open-source contributions
- Familiarity with LLMs / AI tooling
Compensation and engagement
Salary: up to £100k
Length: initial 6 months, with a view to being made permanent with the client
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G MASS are currently looking for an experienced Software Engineer to join a leading Investment Manager client on an initial 6-month engagement. This role sits within a core engineering team at the centre of a highly quantitative investment environment, supporting the technology and data platforms that underpin systematic trading strategies and advanced research. You will be working in a fast-paced, data-driven environment where engineering plays a critical role in enabling investment teams to access, process and utilise large volumes of market and research data.
Responsibilities
- Design, develop and enhance large-scale data and infrastructure platforms supporting trading and research.
- Build and maintain systems capable of processing large volumes of data from numerous global sources.
- Work closely with researchers, traders and engineers to ensure platforms effectively support investment workflows.
- Contribute to improving the scalability, performance and reliability of distributed systems.
- Develop and maintain services primarily using Java and Python.
- Work across modern data and messaging technologies including Kafka, ArcticDB and MongoDB.
Qualifications
- Degree in a quantitative/technical field (e.g. Computer Science, Mathematics, Engineering or Physics)
- 5+ years’ software engineering experience using Java or Python
- Strong Linux and Git knowledge
- Experience with modern databases (e.g. Postgres, MongoDB or similar)
- Strong problem-solving skills and attention to detail
- Able to work independently and collaborate with stakeholders
Nice to have
- Exposure to distributed systems
- Open-source contributions
- Familiarity with LLMs / AI tooling
Compensation and engagement
Salary: up to £100k
Length: initial 6 months, with a view to being made permanent with the client
#J-18808-Ljbffr…