Top Python Jobs in London

Support the business resiliency governance team by building and automating metrics, dashboards, and reporting. Improve data quality and controls, track BCP/testing outcomes and remediation, produce audit-ready evidence, and translate resiliency needs into clear data requirements and technical specifications.

Design, build, test, and maintain scalable full-stack web applications and integrations using Java, Python, and React. Implement AI-enabled features, event-driven data pipelines, and marketing integrations (CDP/CRM/CMS). Improve code quality via AI-assisted tools, CI/CD, observability, and security/compliance best practices while collaborating with product, marketing, and partners.

Assess and mitigate model risk for electronic trading models through independent validation, benchmarking, experiments, documentation, stakeholder communication, and maintenance of model inventory and metadata.

Lead reliability, performance, and automation of analytics pipelines and reporting. Define SLIs/SLOs, monitor data quality/lineage, enable self‑service dashboards, enforce data risk/controls, drive FinOps/capacity insights, lead stakeholder reviews, and mentor junior engineers.

Build and operate low-latency Python services for live Rates risk and P&L. Partner with traders and risk managers to deliver production-ready solutions, own releases/monitoring/incidents, troubleshoot distributed systems, and improve CI/CD and operational readiness.

Sell and grow JPMorgan's electronic Rates execution franchise across EMEA by managing client relationships, analyzing flow and platform performance, leading commercial discussions, translating client requirements to technology teams, and coordinating with trading, quant, and venue partners to drive electronic adoption and regulatory/compliance responses.

Lead design and delivery of cloud-native data and AIML production systems. Build data engineering, backend, Cloud infra/DevOps and MLOps stacks, produce secure production code, architect microservices and distributed, data-intensive applications, and drive adoption/governance of AI-assisted engineering practices while communicating with stakeholders.

Support end-to-end portfolio acquisition and middle-office operations for insolvency assets: pre-purchase support, deal setup, payments reconciliation, data analysis, automation using Python/AI, system improvements, controls, and audit/regulatory support.

Lead design, develop, and optimize low-latency options algorithmic trading systems. Produce high-quality Java code, implement order management, market data processing, and risk systems. Drive automation, CI/CD, performance tuning, and adoption of enterprise AI-assisted engineering practices. Ensure operational stability, testing, and collaboration with product and trading teams.

Lead development of front-office equities trading systems: write production-grade Python, collaborate with traders and quants, design scalable architectures, debug and review code, automate remediation, and drive engineering best practices and community adoption.

Lead coverage of the Swedish and Norwegian economies with macroeconomic analysis, produce forecasts, monitor monetary/fiscal/political developments, publish client notes, engage clients, collaborate with research teams, and travel regularly to the Nordic region to market research views.

Lead Markets Treasury optimization of liquidity, collateral, and capital across trading desks. Develop optimizers, analytics, and AI-enabled tools; review counterparty portfolios; influence methodology changes; partner with trading, technology, vendors, and clearing houses to maximize firm liquidity and capital efficiency while addressing regulatory constraints.

Design, build, and deploy scalable ML services combining NLP, CV, and statistical methods. Collaborate with engineers, cloud and SRE teams to productionize models, ensure observability and compliance, and maintain models over time. Communicate results to stakeholders and document processes for regulatory needs.

Lead credit analysis and modeling for securitized products, translate risk into actionable insights, prototype and scale analytical solutions using Python and automation, develop and validate credit loss models, design stress-testing frameworks, and collaborate with investment, risk, and technology teams to deliver governed, production-ready analytics.

Lead design and delivery of high-performance, real-time data pipelines and analytics for trading. Drive AI-enabled data engineering, mentor engineers, manage global initiatives, and improve SDLC, testing, and operational reliability.

Lead and manage client FIX protocol onboarding for equities trading: configure and test FIX connections, provide technical support and training, troubleshoot issues, document projects, collaborate with sales/tech/ops, and drive adoption of AI-assisted engineering practices and SDLC automation.

Lead design, delivery and maintenance of on-prem and cloud market-data distribution systems (real-time, historical, AI/ML use cases). Collaborate with product/stakeholders, provide 3rd-level operational support, validate AI-assisted recommendations, ensure resiliency, security, auditability and strong process controls.

Lead design and deliver cloud-native, production-scale data and AI/ML engineering solutions. Build data engineering, backend, DevOps and MLOps stacks; produce secure production code and architecture artifacts; troubleshoot complex systems; collaborate with stakeholders and engineering communities to industrialize AI/ML models.

Lead design and delivery of production-grade AI/ML and agentic solutions for the LLM Suite platform. Own architecture, implementation, and operational stability using public cloud services and agentic frameworks. Build GenAI services, integrate LLMs, ensure secure high-quality code, and improve platform scalability and reliability through collaboration and communities of practice.

Design, build, and enhance backend services for a cross-asset risk platform. Develop backend features in Python and frontend components with React/TypeScript. Drive resiliency, monitoring, high-availability performance, and adoption of enterprise AI-assisted engineering practices while collaborating with global engineers and product managers to deliver client-facing solutions.

Design, build, test, and maintain scalable ELT data pipelines and architectures using Python and Databricks. Ensure data security, entitlement controls, and SDLC quality (CI/CD, testing). Use SQL/NoSQL, update data models, apply enterprise-authorized AI responsibly, and support controls and auditability across the data lifecycle.

Lead development and adoption of information architecture standards, controlled vocabularies, and governed data models. Collaborate with business and technical teams to evaluate technologies, provide technical guidance, influence product design, and standardize operational and analytical data management across the Corporate Investment Bank.

Lead EMEA Trade & Working Capital portfolio strategy, risk management, and governance. Drive pricing, capital and liquidity optimization, committee decision-making, underwriting standards, stress testing, forecasting and KPIs, and regulatory compliance. Partner with product, sales, risk, finance, compliance and operations to improve returns and reduce volatility across trade products.

Lead design, development, testing, release, and production support for Equity Derivatives workflows. Own production outcomes, incident triage, stakeholder communication, UAT, architecture and observability. Drive adoption of AI-assisted engineering practices, maintain release discipline, gather telemetry for stability metrics, and improve system reliability and coding hygiene through cross-functional collaboration.

Lead technical design and development of AI-native systems for credit pre-trade markets. Build scalable AI platforms, modernize legacy systems, deliver secure production code, partner with trading and product teams, support production operations, evaluate vendors, and drive engineering best practices and communities of practice.