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Lead the development of the FTSE Russell Index Platform by designing and integrating Java and Python applications with AI capabilities. Guide engineering best practices and mentor junior team members in delivering high-quality, scalable solutions.

Design and implement complex low latency, high throughput software for financial data distribution, conduct testing, and improve software reliability.

Design and implement data pipelines, quantitative models, and ML/AI solutions for fixed income reference data. Perform data processing, feature engineering, NLP/LLM work (including RAG), build POCs and visualizations, and collaborate with engineering and product teams to deploy cloud-based MLOps solutions and communicate insights to stakeholders.

Lead end-to-end AI/ML initiatives for financial analytics: design, build, and deploy production-grade NLP, LLM, multimodal and RAG solutions; partner with stakeholders, define metrics and architecture, ensure MLOps/LLMOps best practices, and mentor teams while advancing Responsible AI and synthetic data approaches.

Ensure reliability, availability, performance, and scalability of critical applications via SLOs, monitoring, incident management, automation, IaC (Terraform), observability, cloud support (Azure/AWS), production support, RCA/postmortems, and on-call participation.

Lead a sales team focused on financial data in Japan, achieving targets, developing strategies, engaging clients, and mentoring team members.

Lead and implement SRE foundations across platforms: design observability, monitoring, alerting, SLOs, incident reduction, cloud cost optimisation, security collaboration, and handover into BAU operations while mentoring engineers.

Maintain and enhance backend order management and next‑gen trading platform components. Design, develop, optimize and test scalable low‑latency Java services, collaborate with product, architects and cross‑functional teams, ensure alignment with business goals, and mentor peers while following engineering best practices.

The Data Platform Administrator will manage and optimize cloud data platforms, ensuring compliance, automation of processes, and support for data teams.

The Senior Enterprise Tools Engineer is responsible for implementing changes in Enterprise Tooling, integrating applications, and recommending product roadmaps while collaborating with cross-functional teams.