Top Python Jobs in London

Analyze large-scale post-trade data to review and refine client trading behaviour, implement performant C# production code, collaborate with research, engineering and front office, monitor real-world changes, and deliver medium-term strategic projects and urgent commercial improvements.

Design, build, and maintain scalable backend systems and APIs using Go/Python. Integrate enterprise services, data pipelines, event-driven tech (Temporal, Kafka), and LLMs (OpenAI, Gemini, Claude). Ensure security, high availability, multi-tenant SaaS deployments, and improve engineering practices across the stack.

A mid-level C# .Net Back End Software Engineer responsible for the software development lifecycle, collaborating with teams, and maintaining software applications with a focus on Azure cloud services.

As a Senior Platform Engineer, you'll design and support digital service platforms, ensuring quality, scalability, and security while collaborating with teams to improve services.

Operate and maintain production clusters, build observability (metrics, logs, traces) and automation, respond to incidents, create runbooks and troubleshooting documentation, collaborate with engineering teams, participate in on-call rotations, and drive reliability culture and continuous improvement.

Design, enhance, and maintain Snowflake/AWS-based historical time series infrastructure for market risk. Build Python ETL/ELT pipelines and optimized SQL models, source and validate end-of-day market data, implement data-quality remediation (gap-filling, back-filling, anomaly correction), collaborate with Market Data and Risk teams to ensure auditable, reproducible risk inputs for VaR and regulatory use.

Develop and optimize algorithmic trading software in modern C++ with strong focus on performance, memory management, and multi-threading. Prototype and analyze data using Python/Perl/Shell and SQL, apply ML frameworks, and collaborate globally. Recommend optimizations, use performance tools, and support low-latency trading systems.

Design and implement end-of-day market data sourcing, validation, modeling, and delivery for pricing and risk. Build Snowflake data models and ETL/ELT pipelines, integrate AWS SQS for data readiness, optimize performance, ensure data quality and auditability, and collaborate with Market Data and Risk teams.

Build, optimize, and support a scalable AWS cloud risk platform that computes risk for cash and derivative trades using Snowflake-stored data. Develop Python-based risk engines, improve distributed computation performance, reconcile outputs with legacy systems, troubleshoot pricing/risk issues, collaborate with IT teams, and participate in on-call support.

Lead analytics, ensure metric integrity, validate AI-generated analysis, design and interpret A/B tests, diagnose drivers of commercial performance, turn insights into prioritized actions, and build dashboards and self-serve tools to enable stakeholders.

Lead complex data integrations and implementations on the nCino CRM platform. Troubleshoot using logs and Chrome tools, follow the nCino Integration Framework, communicate project status, mentor junior staff, optimize CRM data models, use ETL tooling and databases, and apply AI tools to automate and improve processes.

Own and evolve enterprise IAM platforms: design and operate authentication, identity federation, credential and privileged access solutions. Build SAML/OAuth2/OpenID Connect onboarding, rationalise identity providers, implement Teleport/JIT privileged access, define service account and certificate standards, build APIs and automation, and improve monitoring, logging, and operational maturity while partnering with engineering teams to migrate bespoke systems to standards-based IAM.

Lead and execute penetration tests and vulnerability assessments across infrastructure and applications (Kubernetes, Jenkins, Windows Domain Services). Deliver remediation guidance, assess security controls, support Risk/Compliance and Detection teams, build automation/tooling, and mentor junior team members to improve overall security posture.

Design, build, and operate AI-native production systems and agentic workflows at scale. Integrate LLMs and observability to automate incident detection and remediation, maintain CI/CD and IaC pipelines, champion engineering best practices, mentor teams, and ensure compliance within a regulated financial environment.

Contribute to design and delivery of end-to-end data solutions on the Microsoft Azure platform. Collaborate with engineers, analysts and architects to build reliable, tested, and automated data systems using Databricks/Spark, CI/CD and visualization tools, while improving practices and exploring new tools via proofs-of-concept.

Support Global Reserving by performing reserving analysis, reporting, and transformation initiatives. Deliver reserve reviews, analytics, tool development, process improvements, and communicate findings to actuarial and business leadership. Contribute to ERMS/ResQ/MRD projects, audits, IBNR uploads, and automation efforts.

Support integration and optimization of Janes intelligence data across customer systems. Deliver system integrations, advise customers, develop ontologies and data models, perform gap analyses, support presales, and drive technical product delivery for defence and NATO customers.

Lead research and engineering for multimodal and vision document-translation models. Own post-training, fine-tuning, RL-based optimization, evaluator models, and full model lifecycle from prototype to production. Build data and evaluation pipelines, mitigate reward hacking, and collaborate with engineering to deploy scalable, real-time systems.

Undergraduate year‑in‑industry placement to scope, prototype and evaluate optical techniques for higher‑resolution, robust 3D optical interferometry in elastohydrodynamics. Work spans mechanical design, optics, data analysis and software engineering; own and deliver a one‑year R&D project within a multidisciplinary team.

Build and maintain scalable, highly available platform infrastructure. Implement IaC with Terraform, manage AWS environments, build CI/CD pipelines, automate operations, implement observability, participate in on-call incident response, and collaborate with dev teams to accelerate delivery.

Develop full-stack and backend systems with hands-on Python coding across the full software lifecycle. Contribute to design, integrations, testing, process optimization, and deliver high-quality customer features in an agile team.

Own and operationalize audit-ready security controls (DORA, GDPR, SOC 2, ISO 27001) across AWS, Kubernetes, and application layers. Translate regulations into technical controls, automate evidence collection and compliance checks, lead audit preparation and walkthroughs, remediate issues, and partner with Legal, Compliance, Risk, and engineering to embed secure-by-default design.

Lead Cloud Platform and SRE teams to design, build, and operate scalable, secure infrastructure. Define SRE practices (SLOs, SLAs, error budgets), own developer-facing platform and tooling, drive IaC and GitOps adoption, ensure security/compliance (SOC2, ISO-27001), and coach engineers for technical excellence and reliability.

Lead statistical strategy and execution for oncology clinical development across phases. Design and analyze trials using simulation, Bayesian and real-world data approaches; author protocols/SAPs; deliver timely, high-quality statistical outputs; influence asset and regulatory strategy; represent biostatistics externally and mentor project teams.

Deliver and configure CausewayOne workforce management solutions, lead customer projects, integrate systems via APIs, assist support, provide training and documentation, and drive excellent customer experience.