Top Python Jobs in London

Lead cross-functional custody operations transformation programs from initiation through delivery. Manage governance, stakeholder engagement, process re‑engineering, automation initiatives, and reporting; translate business requirements for technology, oversee UAT and deployments, and deliver executive-ready updates to improve operational efficiency.

Design, build, test, and maintain scalable regulatory reporting applications and data pipelines. Translate regulatory requirements into technical solutions, investigate reporting exceptions, reconcile data, optimize processing frameworks, and support the full software development lifecycle with monitoring and automation.

Support Network Strategy through special project execution, interconnection and network acquisition operational support, strategic data analysis and research, documentation and KPI tracking, and progress reporting during a full-time 12-week fall internship in London.

As a Quantitative Researcher, you will develop trading strategies, implement mathematical models, analyze data, and contribute to high-level research in a trading environment.

11-week internship performing quantitative research to develop, backtest, and implement automated trading strategies. Translate mathematical models into code, analyze unconventional data sources, conduct statistical research (ML, time-series, NLP), and collaborate with senior researchers to refine trading signals and monetize models.

Conduct original research applying machine learning, deep learning, and NLP to extract patterns from large and unstructured datasets; implement and back-test algorithms in high-quality code; document findings and collaborate with trading teams to deploy research-driven models.

As a Senior Azure Data Engineer, you'll design and deploy data engineering pipelines using Databricks on Azure, collaborate with clients, and implement best practices in a consulting environment.

Lead architecture and delivery of data solutions on Databricks within Azure, ensuring best practices in data pipeline design and implementation.

The role involves designing and building data pipelines using AWS technologies, leading projects, and mentoring junior engineers in a data engineering context for financial services.

Design and build cloud-based data pipelines using AWS tools, collaborate with clients, ensure data governance, and mentor junior engineers.

Build and maintain automation workflows and integrations across core IT systems, consolidate SaaS tools, improve vendor management and documentation, reduce tech debt, and partner with Security, Compliance, and People Ops to shift IT from reactive support to proactive strategic operations.

Support Global Customer Services by designing, developing, and deploying AI-driven prototypes using LLMs and RAG, integrating AI via APIs, preparing post-sales data for training, refining prompts and models, translating business needs into MVPs, creating documentation, and participating in customer sessions to capture feedback.

Own a portfolio of enterprise accounts as technical advisor and strategic owner: onboard, enable, drive adoption, troubleshoot integrations, run demos/POCs/workshops, surface requirements for product/engineering, identify expansion, lead executive reviews, and build AI-first automation to remove recurring work.

Customer-facing consultant delivering advisory and technical Nexthink services: design outcome-driven use cases, implement and configure products, build dashboards/alerts/automations, integrate via scripting/APIs, analyze endpoint data, troubleshoot, drive adoption, and document solutions to achieve measurable business outcomes.

Support investment desk analytics, reporting, and quantitative tools; automate workflows; analyze portfolio exposures and risk metrics; contribute to asset allocation research; document methodologies and communicate insights to senior stakeholders.

Build and optimize Lakehouse data pipelines (Trino + Iceberg) using Medallion Architecture to transform high-throughput event logs into audit-ready subledgers and reporting metrics. Implement stream processing with Kafka, embed automated reconciliation/data quality checks, collaborate with finance and product stakeholders, and mentor junior engineers.

Lead product development of agentic merchandising optimisation: prototype and ship multi-agent systems, define trust and governance for agents on live experiences, productionize prototypes with safety/rollback/audit, partner across engineering, data science, experimentation and brand teams, and drive measurable conversion and revenue lift while preserving traveler trust.

The Senior Customer Technical Architect will engage customers, design scalable solutions, provide technical advisory, and conduct training to drive customer success with LogicMonitor's platform.

Lead product analytics for Wise Business: define and track KPIs/OKRs, build data logging and automated pipelines, run deep-dive analyses, quantify feature impact for prioritization, and translate findings into clear recommendations for product and leadership.

Lead SRE responsible for driving reliability practices, designing resilient systems, conducting resiliency reviews, leading incident response, mentoring engineers, improving observability and CI/CD, and adopting validated AI-assisted reliability workflows across the SDLC.

Lead post-sales technical implementations for enterprise customers of the DX platform, design custom integrations, map platform architecture into customer workflows, run technical workshops, advise on developer experience and deployment best practices, and relay customer technical feedback to Product and Engineering to influence the roadmap.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.

Work on research projects addressing security, privacy, and scalable systems. Tasks include engineering, data analysis, protocol design, open-source development, measurement, and implementation using systems languages. Projects may involve AI, distributed systems, privacy, or trusted execution. Interns matched to research directions, expected to communicate results and collaborate with teammates.

Conduct market microstructure research and develop quantitative models for equity algorithmic execution. Analyze large trading datasets, backtest methodologies, run A/B experiments, build analytics and data pipelines, validate production models, and collaborate with technology and client teams to industrialize research and produce client-facing materials.

Senior portfolio manager responsible for designing, constructing, and managing physical equity portfolios and equity sleeves within multi-asset mandates. Lead day-to-day implementation, client flows, FX hedging, rebalancing, performance and risk monitoring, and ensure compliance with mandates. Drive automation and Aladdin-based tooling, collaborate with researchers and CIOs on investment capabilities, and establish governance and shared portfolio construction methodologies across global teams.