Top Python Jobs in London

Oversee the Totem Product by enhancing consensus services, analyzing financial data, and collaborating with IT to innovate features. Requires strong analytical skills and expertise in financial derivatives.

Lead the Risk Platform Operations team to ensure accurate and timely delivery of portfolio risk analytics, mentor junior members, and enhance data quality controls.

The Data Analyst will analyze large residential datasets, create SQL models, develop Power BI dashboards, and automate valuation workflows while engaging with clients and stakeholders.

Design, build, and optimize intelligent systems using AI techniques to solve real-world problems. Responsibilities include data processing, model development, and collaboration.

As a Machine Learning Engineer III, you will design, build, and optimize AI systems, utilizing techniques including machine learning and deep learning to solve real-world problems, while collaborating with a global team and communicating complex topics clearly.

Design and deliver data integration solutions for automation systems. Collaborate across teams to ensure data availability and security, improve data handling standards, and coach staff.

As a Senior Embedded Software Engineer, you'll develop and optimize embedded systems for medical devices, collaborating with multidisciplinary teams to ensure product quality and security.

Serve as the primary data partner to Fundraising and Marketing: define and document KPIs, build production-grade data models and forecasts, create scalable data products, run donor cohort and ROI analyses, support experiment design, and collaborate with data engineering and CRM owners to improve data quality and reporting.

Lead statistical planning and delivery across clinical programs in oncology, mentor colleagues, and contribute to statistical analysis and regulatory submissions.

The Pricing Optimisation Lead will enhance pricing strategies through model development, stakeholder engagement, mentoring, and collaboration in a dynamic analytics team.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

Support Financial Crime Operations by optimizing transaction monitoring and sanctions screening systems while leveraging analytics for model enhancements.

The AVP will coordinate data analytics activities across regions while producing management information reports and supporting audit processes.

The role involves managing sanctions programs, investigating alerts, data transformation, and supporting compliance with regulations while working with stakeholders across EMEA.

Lead pricing for Cyber and Delegated Authority within Financial Lines. Develop pricing models, analyze portfolio performance, partner with underwriters, and stay updated on Cyber trends.

The Commercial Business Analyst supports client advisory by preparing pricing metrics, managing client accounts, developing analytical tools, and presenting insights. They also coordinate market reports and collaborate with engineering teams to enhance reporting capabilities.

Lead technical design for projects, mentor team members, ensure high engineering standards, write code, and create technical documentation for complex systems.

The Market Data Software Engineer will lead the architecture and implementation of a low-latency market data platform, oversee engineering teams, manage projects, and ensure data quality and governance for financial services.

Lead pricing transformation initiatives, develop pricing models, collaborate with underwriting teams, mentor junior staff, and engage with stakeholders to drive change.

The Associate will integrate AI capabilities with business use cases in risk management, developing tools to enhance analysis and decision-making.

The Regulatory SME will ensure compliance with regulatory requirements, manage transaction reporting processes, perform data analysis, and advise clients on regulatory changes.

As a Software Engineer III, you'll enhance AI features for LexisNexis® Classification, collaborating across global teams and modernizing the application stack.

Responsible for company-wide analytics, managing data accuracy, collaborating with product and engineering teams, and delivering actionable insights.

As a Full Stack Software Engineer, you'll optimize frontend and backend performance, collaborate with teams on improvements, and contribute to reusable UI components.

As a DevOps Engineer, you'll enhance systems delivered in AWS, automate and monitor infrastructure, and collaborate closely with software teams to ensure operational efficiency.