Top Python Jobs in London

Design, implement, and maintain systematic trading strategies and investable indices across asset classes. Develop production-grade algorithms, support risk management and hedging, build infrastructure and automation, and collaborate with Structuring, Trading, and Technology teams globally to drive robust, scalable solutions.

Lead engineer designing, developing, and troubleshooting ultra-low-latency electronic trading systems. Write high-quality C++14 production code for multithreaded, networked applications, collaborate with traders and cross-functional teams, lead engineering practices, participate across the SDLC, and drive automation and stability improvements for order routing, matching engines, market access, and risk systems.

Support the Treasury Wind Down team by preparing analyses and automating processes for orderly wind down of trading and derivatives. Contribute to Resolution Financial Analytics, prepare regulatory submissions, refine methodologies, and develop stakeholder materials. Collaborate with SMEs and technology partners to enhance regulatory readiness and deliver high-quality analytics for US and EMEA recovery planning.

Lead development of the QES trading platform: design, build, test, and maintain production-grade software. Collaborate with front office (trading, structuring, research), deliver secure high-quality code (Python/Java/TypeScript/React), automate operational remediation, and lead agile engineering practices and communities of practice.

Join the Global Commodities Quantitative Trading & Research team to design algorithmic trading and execution strategies, build and maintain pricing and trading tools, implement automated hedging and risk solutions, and collaborate with traders, sales and risk to drive revenue across base metals, bullion, energy, gas and commodity indices.

Design, develop, deploy, and maintain advanced AI products and data pipelines. Collaborate with engineers, data scientists, and product owners to deliver production-grade, secure, scalable code. Architect AI-enabled engineering workflows, improve SDLC automation, ensure compliance, and provide technical leadership and architecture governance.

Develop and deliver AI/ML solutions for securities services and payments: build scalable data architectures, automate processes, create sequential decision-making models for balance sheet and deposit optimization, analyze large datasets, present actionable insights to stakeholders, and collaborate across quant, treasury, CIO, technology and data teams.

Lead end-to-end low-code automation and process improvement for Custody operations: gather requirements, design solutions, build/test/deploy workflows, govern automation platforms, coach teams, quantify benefits via KPIs/OKRs, and support AI/document digitization efforts to improve efficiency and reduce risk.

Lead platform engineer driving cloud-native microservices, developer experience tooling, IaC, CI/CD migrations, and adoption of AI-assisted engineering. Designs architectures, writes secure production code, troubleshoots systems, and mentors teams to improve reliability and delivery.

Lead design and delivery of real-time marking, pricing, and market data platforms for Rates Nonlinear. Build secure, high-quality production code, drive AI-assisted engineering adoption, collaborate with front office and quant teams, and lead cross-functional initiatives to ensure resilient, scalable solutions across the trade lifecycle.

Assess and mitigate model risk for electronic trading models by testing conceptual soundness, replicating or benchmarking models, running experiments to quantify limitations, documenting findings, advising stakeholders on model use, maintaining model inventory/metadata, and staying current with markets and risk practices.

Lead development and implementation of advanced pricing and risk models for exotic equity derivatives. Collaborate with Trading, Structuring, and Sales to drive product innovation, provide valuation and risk expertise, build systematic portfolio solutions, communicate with senior stakeholders, and mentor junior team members.

Develop and implement fraud detection strategies and rules, perform analytics to support fraud products, operations and financial crime initiatives, collaborate with cross-functional and risk teams, ensure compliance with audit/control frameworks, and share best practices across the firm.

Lead development of engineering productivity and operational tooling for a large front-to-back platform. Build event-driven monitoring, runtime configuration, and AI-enhanced features; own full lifecycle from discovery to production support; partner with platform teams, Controls, and Audit to deliver safe, scalable, and widely adopted capabilities.

Lead SRE embedded with front-office trading teams to improve reliability, observability, and performance across low-latency, global trading platforms. Responsibilities include incident response, root cause analysis, coding reliability improvements (Java/Kotlin/Python), designing SRE patterns (automation, self-healing), observability, and partnering with infrastructure, cloud, and cybersecurity teams.

Design, develop and optimize a large-scale Monte Carlo engine for CVA/FVA calculations; implement numerical techniques for efficiency; build production-grade analytics; collaborate with traders, risk managers and tech teams; drive software engineering best practices.

Coordinate and manage delivery of technical security assessments (red/purple/penetration) across global teams. Maintain stakeholder communication, enforce SOPs, resolve SLA roadblocks, produce reports and management information, identify automation and process improvements, and build partnerships across US, UK and Singapore assessment teams.

Lead metadata and information architecture by developing metamodels, controlled vocabularies, mappings, lineage, DSLs, and tooling. Prototype, validate, and integrate metadata into engineering workflows to enable AI, governance, traceability, and secure, reusable metadata-driven patterns. Influence standards and partner with stakeholders to ensure implementable models and controls.

Front-office role managing electronic global credit trading algorithms and desk operations. Responsibilities include price delivery, risk and liquidity management, pre-trade analysis, trade execution, client servicing, market analysis, and data-driven risk strategies while ensuring regulatory compliance.

Support planning and automation for the orderly wind down of trading and derivative activities. Prepare regulatory submissions, develop analytics and methodologies, automate processes with technology partners, produce materials for senior stakeholders, and assist capability leads to enhance regulatory readiness and local recovery planning.

Lead development of microservices that fetch, enrich, consolidate, and distribute network metadata. Design, build, test, and maintain secure, resilient production code; drive adoption of AI-assisted engineering practices; automate remediation and CI/CD; evaluate vendor solutions; coach teams on responsible AI and cloud/network technologies; lead communities of practice and ensure operational stability.

Lead development and enhancement of equity derivatives trading and analytics applications, drive automation and AI-assisted engineering practices, collaborate with trading and quant teams, maintain global platform stability, and lead the Systematic Quoting Platform workstream for EMEA.

Design, build, and operate LLM inference backend services focused on routing, batching, scheduling, streaming, and quota management. Implement APIs/SDKs, profile and optimize performance (CPU, memory, network, GPU), improve reliability and observability, support CI/CD-safe deployments, and learn LLM serving fundamentals while applying responsible AI and enterprise-authorized AI-assisted development tools.

Lead analytics for anti-financial-crime product work: design scalable data models and pipelines, build decision-ready dashboards and self-serve data assets, quantify risk/friction/cost trade-offs, run experiments, and partner with Product, Engineering, Ops and Compliance to improve controls and operations.

Validate and assess derivative pricing models for the Macro Trading Desk, ensuring compliance with model risk standards, and develop benchmark models for independent risk assessment.