Top Tech Jobs & Startup Jobs in London

Leads second-line financial crime compliance oversight for digital asset activities across EMEA. Advises on AML, sanctions, anti-corruption, risk assessments, regulatory requirements, new product expansion, client onboarding, and fintech initiatives. Partners with senior stakeholders, supports audits and regulatory requests, contributes to global standards and training, represents the region in governance forums, and develops risk mitigation recommendations for cryptoassets, tokenized products, custodians, wallets, and blockchain-based settlement mechanisms.

Own the product backlog and delivery of front-to-back commodities technology solutions. Partner with traders, quants, engineers, and stakeholders across Front, Middle, and Back Office to translate business needs into requirements, manage execution plans, lead Agile ceremonies, and support testing, validation, and releases. The role requires expertise in trade capture, lifecycle, risk, and complex Global Markets projects, with commodities experience and Python skills preferred.

Leads software engineering strategy and development for AI/ML data platforms. Designs reusable frameworks, architects governed agentic AI development workflows, builds secure and scalable cloud-native applications, and operates 24x7 tier-1 services. Influences technical, product, and business leaders; drives adoption of engineering methods, responsible AI controls, automation, and platform capabilities across teams.

Build and maintain DevSecOps tooling for AWS cloud environments, including threat modeling, security guardrails, policy-as-code, vulnerability analysis, compliance reporting, and runtime security visibility. Develop automation for security findings and software supply chain controls, support audits and incident response, and provide remediation guidance to engineering teams. Collaborate with platform engineers, product squads, risk, and governance teams while using authorized AI-assisted development tools securely and validating generated outputs.

Designs and maintains production-grade algorithmic trading systems and execution platforms for systematic Rates markets. Translates quantitative research into scalable strategies, collaborates with traders and researchers on models, hedging, risk, and allocation, and optimizes latency and throughput. The role also emphasizes automated deployments, observability, production support, documentation, and continuous improvement of live trading infrastructure.

Build and grow a personal high-net-worth client bank, acquire new clients, manage ongoing wealth relationships, and support new investors. The role includes mentoring wealth consultants, collaborating with Business Development, monitoring investment and regulatory developments, providing informed client guidance, and ensuring compliance. Success requires extensive wealth management experience, strong business development and sales abilities, UK investment knowledge, and QCF Level 4 financial planning qualifications.

Oversee wealth management cross-asset trading desk operations, monitor risks and control gaps, review trade alerts and exceptions, approve client and marketing communications, coordinate regulatory and business projects, and support audits by documenting compliance with internal and external requirements.

Designs and operates production-grade data pipelines and governed data products for technology resiliency and recovery-risk analytics. Responsibilities include data modeling, integration, lineage, quality controls, metadata management, distributed systems, database optimization, and scalable architecture. Partners with engineering, cybersecurity, controls, architects, analysts, and business stakeholders to translate requirements into technical solutions and deliver measurable operational outcomes.

Design, develop, and deliver frontend (React) and backend services; produce architecture artifacts; analyze large data sets and visualizations; improve code quality and system resiliency; mentor junior engineers; use enterprise-authorized AI-assisted development tools; contribute to engineering communities and continuous improvement of infrastructure platform services.

Owns the product lifecycle for AI and autonomous-agent solutions, translating business needs into production-grade workflows. Responsibilities include defining requirements and roadmaps, managing delivery and backlogs, building integrations and infrastructure, evaluating model performance, monitoring drift, gathering user feedback, measuring impact, and ensuring governance, compliance, safety, and reliability in a regulated banking environment.