Job Title: KDB Developer - FICC Low Latency Trading Team

Location: London, but open to Dublin-based candidates also

Job Description:

• We are seeking a highly skilled KDB Developer to join our FICC Low Latency Electronic Trading Team
• The successful candidate will have experience working with KDB, a high-performance time-series database and programming language.
• The role will involve designing, developing, and maintaining low latency e-trading applications for the FX, Fixed Income and Commodities businesses.
• The ideal candidate will have a strong understanding of financial markets and a track record of delivering high-performance trading systems.
• The role will include working closely with the trading and quantitative teams to design, develop and implement new systems and technologies.
• The team is responsible for the development and support of the strategic low latency e-trading set of applications

Qualifications:

• Strong experience with KDB and Q programming language.
• Experience in developing low-latency, high-performance systems.
• Strong understanding of financial markets and trading systems.
• Strong problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Bachelor's degree in Computer Science or related field.

If you are a highly skilled KDB Developer with a passion for financial markets and a track record of delivering high-performance trading systems, we would like to hear from you.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Cloud Data Engineer - Assistant Vice President

Dublin, Ireland - Full Time, Permanent - Hybrid

Sponsorship - NOT AVAILABLE

You will bepart of the Cloud and Innovation Network Function that drives the business's Cloud and Innovation strategy, though technology partnerships and investments. You will be working on the interface of Cloud and AI/ML (Artificial Intelligence/Machine Learning) to drive and enable the business transformation of various business units.

You will be working with a team of experts in Data Engineering, DevOps, MLOps (Machine Learning Operations), and Product Management.

Your key responsibilities

• • Deploy and scale out the Machine Learning solutions using standardised Continuous Integration, Continuous Delivery and Continuous Training pipelines in Google Cloud Platform (GCP) as well as On-Prem environments
  • Build solutions/frameworks to move data from On-Prem data sources to Google Cloud Platform
  • Contribute towards designing and building the MLOps framework
  • Work collaboratively with product managers, other engineers and the team collective

Your skills and experience

• • Significant understanding of Continuous Integration / Continuous Delivery - TeamCity, Jenkins, GitHub Actions etc
  • Working experience of Infrastructure as Code (Terraform Enterprise)
  • Experience of Containerisation, Virtualisation - OpenShift, VMWare etc
  • Knowledge of Big Data concepts like distributed files systems (HDFS), data access layers, distributed computing etc
  • Experience of working in the public cloud, such as GCP, Azure, or AWS (Amazon Web Services)

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.