Top Tech Jobs & Startup Jobs in London

Coordinates client onboarding for markets products, tracking requirements, requests, status updates, and timelines. Partners with clients, sales, reference data, KYC, accounts, credit, legal, operations, technology, and data teams to support readiness to trade. Communicates onboarding requirements, manages stakeholder relationships, maintains process controls, and contributes to platform, automation, reporting, metrics, and continuous improvement initiatives.

Build and maintain reusable Terraform modules for cloud database platforms across AWS and GCP. Develop Python automation, validations, testing, documentation, CI/CD workflows, security guardrails, and developer-experience tooling. Partner with application, security, risk, and compliance teams to create composable, well-documented infrastructure patterns with sane defaults. Improve module reliability and operability while expanding multi-cloud coverage.

Conduct quantitative research and develop analytics, models, and end-to-end tools for credit electronic trading, including corporate bonds, bond portfolios, and CDS indices. Collaborate with market makers and risk managers to improve systematic market-making strategies. Apply statistical, financial mathematics, and AI/ML techniques, including deep learning and time-series modeling, to build scalable production solutions and translate market data into actionable trading insights.

Design, develop, test, and improve low-latency electronic trading software supporting pricing, execution, risk management, and market connectivity. Translate business requirements into scalable technical solutions, define performance and reliability requirements, and partner with global stakeholders, traders, analysts, and project managers. Contribute to system architecture, test automation, development processes, and reliable software delivery across fixed income, currencies, commodities, and other trading domains.

Supports the Chief Data and Analytics Officer by identifying operational risks, designing and evaluating controls, managing control issues and remediation, coordinating audits, supporting regulatory engagements, and overseeing governance and reporting. The role presents updates to senior management, collaborates with control managers, and helps establish best practices for data, AI/ML, and finance control environments.

Design, build, test, deploy, and operate resilient Java microservices supporting a high-volume, multi-asset trading platform on AWS. Develop reactive, streaming, and event-driven services; apply Kubernetes, caching, testing, CI/CD, and distributed-systems practices. Collaborate with engineers and senior stakeholders on domain-driven design, service boundaries, performance, resilience, security, and technical direction. Use AI-assisted development tools while maintaining strong engineering controls and operational readiness.

Leads product discovery, strategy, roadmap development, and end-to-end product lifecycle execution for Kinexys Liink. Conducts user research and market analysis, defines requirements, collaborates with cross-functional stakeholders, and drives product launches and post-launch optimization. The role focuses on API-first products, network platforms, and B2B data products, with preferred expertise in payments, compliance, payment operations, ISO 20022, and SWIFT standards.

Own and administer the project’s electronic document management system for a major real estate development. Responsibilities include configuring metadata, workflows, permissions, and naming standards; controlling revisions; managing reviews, approvals, transmittals, and access; quality-checking submissions; producing status reports; and assembling handover documentation. The role supports consultants, contractors, client stakeholders, and project leadership while maintaining audit-ready records throughout design, construction, and handover.

Lead infrastructure software engineering across design, development, testing, and troubleshooting. Build secure, resilient infrastructure patterns primarily in Red Hat Linux, implement Infrastructure as Code, improve automation and operational stability, and support SDLC tooling and CI/CD practices. Evaluate vendor and architectural solutions, guide responsible use of AI-assisted development tools, and contribute hands-on expertise within an agile team.

Lead product strategy and cross-functional delivery for agentic AI products that automate large-scale bank operations. Own roadmaps, product requirements, prioritization, lifecycle execution, and launch outcomes. Translate business and user needs into AI workflow solutions, guide engineering and design decisions, evaluate product quality and reliability, and communicate progress and trade-offs to senior leaders. The role requires familiarity with large language models, prompting, retrieval-augmented generation, fine-tuning, context engineering, and agentic frameworks.