Top Tech Jobs & Startup Jobs in London

Build high-performance quantitative trading infrastructure, including market-data, backtesting, simulation, model-serving, execution, and monitoring systems. Develop low-latency C++ services and scalable Python research pipelines, optimize throughput and latency, productionize machine-learning models, and partner with researchers and traders to deploy reliable live trading strategies.

Monitor and investigate security threats, vulnerabilities, and incidents through log and network analysis. Triage alerts, lead incident response, develop detection and response playbooks, document processes, and provide cybersecurity intelligence to acquired organizations. Collaborate with technical and non-technical teams, identify security gaps, drive remediation efforts, and escalate complex issues while supporting continuous improvement of the organization’s security posture.

Owns the Applied AI product vision, strategy, and roadmap for JPMorgan Personal Investing. Leads cross-functional Data Science, Engineering, and Platform teams to deliver LLM, agentic, automation, assistant, and developer productivity solutions at enterprise scale. Defines and prioritizes AI use cases, evaluates build-versus-buy decisions, establishes governance and risk practices, enables self-service AI adoption, and converts rapid prototypes into measurable production outcomes within financial services regulatory requirements.

Lead an applied AI team building and deploying agentic automation for banking operations. Own shared AI capabilities, orchestration, evaluation, and human-agent workflows while directing end-to-end production delivery under governance. Mentor AI engineers, establish technical direction, align cross-functional teams, manage senior stakeholders, and measure agent autonomy and human involvement. The role requires hands-on AI engineering, production agentic systems experience, strong software engineering foundations, and leadership in complex regulated environments.

Advises EMEA business lines on tax risks associated with transactions and financial products across trading, banking, asset management, treasury, and custody. Responsibilities include understanding products, assessing worldwide tax regimes, clearly communicating risks to non-tax stakeholders, escalating issues, and collaborating with external advisors and internal Corporate Tax, VAT, Legal, Finance, and Operations teams.

Develop, test, and maintain customer-facing Android banking applications for Chase UK. Build reusable Kotlin code and intuitive Jetpack Compose interfaces, troubleshoot issues, participate in agile ceremonies and code reviews, and collaborate with product, design, and engineering stakeholders. The role also involves applying Android architecture patterns, integrating REST APIs, supporting testing and quality initiatives, considering performance, accessibility, and security, and responsibly validating enterprise-authorized AI-assisted development outputs.

Manage daily FX currency-overlay order flow, mitigate risk, and ensure accurate trade execution. Serve as a product subject-matter expert by designing currency risk-management solutions for institutional clients. Review procedures, data flows, and system dependencies to identify control gaps and improvements. Develop advanced analytics using statistical methods and large datasets to improve client solutions and generate business opportunities, collaborating with Trading, Sales, Technology, and Operations.

Provides legal and regulatory counsel to the EMEA Prime Financial Services business, advising on client onboarding, product development, legal agreements, derivatives, clearing, securities lending, and related regulatory requirements. Responsibilities include regulatory horizon scanning, risk assessment, audit and regulator support, cross-functional collaboration, external counsel management, and improving legal processes. Requires a qualified lawyer with UK or comparable jurisdiction licensing and experience in derivatives or prime financial services.

Leads development of high-performance, latency-sensitive trading systems using Java and Python. Oversees architecture, coding, testing, APIs, integration strategies, observability, resilience, security, incident response, and operational readiness. Guides agile delivery through technical planning, code reviews, retrospectives, and mentoring. Establishes responsible use of AI-assisted engineering tools and validates outputs for correctness, performance, and security in a regulated financial environment.

Lead research and development of Transformer-based and time-series foundation models for systematic trading. Responsibilities include pre-training models from scratch on large-scale financial datasets, designing representations and self-supervised objectives, developing distributed training systems, fine-tuning models for trading applications, studying scaling and regime robustness, and evaluating economic performance through simulations and live-trading metrics.