Quantitative Data Analyst

Requirements

• Experience in data processing, data analysis, and data visualisation techniques
• Strong programming skills in Python, with experience developing scalable and maintainable solutions
• Familiarity with AI-assisted software development and modern coding tools
• Experience working with cloud platforms, preferably Google Cloud Platform (GCP)
• Preferred experience with workflow orchestration tools such as Airflow, containerisation technologies including Docker, and the management of data pipelines
• Strong communication and collaboration skills, with the ability to work effectively across multiple stakeholder groups to understand business requirements and deliver data-driven solutions
• Ability to operate in a fast-paced trading and analytics environment, supporting both technical and non-technical teams

What the job involves

• Support the Quant team by delivering and maintaining the data and technology infrastructure that underpins quantitative analysis and trading strategies
• This includes managing market data, databases, cloud technologies, and analytical tools to enable efficient research, modelling, and reporting across IG Group’s retail trading and investment platforms
• Support the Quant Analysts and Trading teams by delivering and maintaining the data and technology environment that underpins quantitative research and trading strategies
• You will work with complex datasets across multiple databases and visualisation platforms, including kdb+, Google Cloud, and Tableau, to develop scalable data solutions, analytics, dashboards, and scheduled reporting
• Working closely with cross-functional stakeholders, you will help enhance data pipelines, cloud-based infrastructure, and analytical capabilities within a fast-paced trading environment
• Develop, maintain, and enhance codebases supporting data processing and quantitative analytics workflows
• Design and manage scalable data pipelines for model ingestion, transformation, and distribution
• Maintain repository workflows and automation processes, including CI/CD pipelines and deployment standards
• Create data artefacts, dashboards, reports, and visualisations to support trading analysis and decision-making
• Build and support primarily cloud-based services and infrastructure used by traders and quantitative analysts
• Provide ad hoc data analysis and reporting support to internal stakeholders, including Trading, Compliance, and Sales teams
• Collaborate with cross-functional teams to ensure reliable, accurate, and timely delivery of data solutions and analytics capabilities

#J-18808-Ljbffr…