Professional services delivering expertise into complex financial services technology
Bournemouth, Dorset
Caspian One is a professional services provider operating exclusively within financial services. We work with banks, trading firms, and regulated financial institutions delivering complex technology and change initiatives in environments where systems are business-critical, constraints are real, and delivery must progress with control and clarity. We deliver specialist, niche expertise by introducing experienced subject-matter specialists into live environments, embedded alongside client teams on delivery-critical programmes. Caspian One operates close to execution, applying an intelligence-led approach to ensure the right expertise is applied at the right point as delivery conditions evolve. Our work spans front-office trading technology, core application engineering, data platforms, artificial intelligence, infrastructure, and delivery leadership, with particular depth across trading, risk, market data, and control-adjacent functions. Areas of expertise: - Application development (front-office and core engineering) - Data & analytics (real-time platforms, market data, kdb+) - Artificial intelligence (applied, governed, production-ready) - Infrastructure & cloud (platform resilience, DevOps) - Cyber security (secure system delivery) - Change & delivery management - Data & Analytics Practice > real-time and high-performance data platforms shaped by live trading and control-function use cases - AI Practice > applied AI for regulated financial services, focused on production delivery, governance, and integration into existing environments Service models: Resource Augmentation, Managed Outcomes Where we operate: UK, Europe (inc. Poland), North America, and Ireland
On-site · Toronto
Bridge Credit Finance stakeholders and technology teams by sourcing, consolidating, validating, and analyzing data across systems in Databricks. Prepare datasets and develop dashboards, reports, and analytical models to support transformation initiatives, stress testing, risk management, and business decisions.
On-site · Toronto
Partner with Corporate Banking stakeholders to investigate data and reporting needs, trace information to authoritative sources, and analyze data across systems using Databricks. Model data products, create proof-of-concept notebooks and reporting outputs, and translate business requirements into clear direction for engineering teams.
On-site · Toronto
The role involves building and maintaining reusable Terraform modules and Infrastructure-as-Code frameworks to support AI and platform services. You will also engineer Azure cloud infrastructure and implement platform governance, observability, and resiliency controls.
Hybrid · Toronto
Design and deploy production-ready AI workflows and agent-based architectures to solve tangible business problems for clients. Collaborate throughout the full lifecycle from use case definition to deployment and adoption within enterprise environments.
