ROLE As a Data Modeller in the Financial Services domain, you will be responsible for designing, developing, and maintaining data models that support critical business functions such as risk management, regulatory reporting, investment analytics, and operational efficiency. You will work closely with stakeholders across business and technology to ensure data structures are optimized for performance, compliance, and usability. YOUR … systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance More ❯
ROLE As a Data Modeller in the Financial Services domain, you will be responsible for designing, developing, and maintaining data models that support critical business functions such as risk management, regulatory reporting, investment analytics, and operational efficiency. You will work closely with stakeholders across business and technology to ensure data structures are optimized for performance, compliance, and usability. YOUR … systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance More ❯
practices in performance, security, and maintainability. Scale large-scale simulations, extracting meaningful insights from vast datasets. Work with Kafka,Docker, Kubernetes, Helm. Design and optimise data pipelines, databases, and metadata management. Skills & Experience: Strong programming skills in C++ and Python. Experience with modelling and simulation tools, ideally in agent-based modelling. Proficiency in distributed computing, cloud-based infrastructure, and … database optimisation. Knowledge of data engineering techniques and metadata management. A holistic approach to software development, including testing, documentation, and security. Strong problem-solving skills and the ability to collaborate effectively within a multidisciplinary team . If youre passionate about simulation technology and want to work on cutting-edge AI-driven models, apply now or get in touch for More ❯
