Top London Quantitative Analyst Jobs

As a Senior Analyst at Gain Theory, you will extract, manipulate, and analyze data to inform marketing strategies. You will build and validate models to calculate sales effects and optimize media investments while communicating results and insights to clients and supporting junior analysts in their development.

The Graduate Analyst will support senior colleagues in managing projects, perform media valuation analyses using Microsoft Excel, analyze data trends, produce client reports, mentor junior analysts, and maintain data quality and dashboards.

As a Senior Insight Analyst, you will lead analytical projects to deliver actionable insights that enhance business performance, manage stakeholder communications, and promote best practices in data analysis. Your role involves collaborating with other analysts, utilizing statistical methods, and crafting effective data presentations to drive commercial value and marketing outcomes.

The Analyst will drive video analytics efforts, leveraging SQL and data visualization to optimize Condé Nast's digital video performance. Responsibilities include creating reports, managing video metadata, forecasting KPIs, and collaborating across teams to enhance video strategies, informed by data insights and industry trends.

The Research Analyst - Methanol will develop supply-demand forecasts and price analyses for low-carbon methanol. Responsibilities include assessing policy impacts, collaborating with internal teams, and presenting insights to clients, all while leveraging proprietary data. The role requires strong analytical skills and industry knowledge.

The role involves designing, developing, and improving AI and quantitative applications, collaborating with technology teams to ensure scalability, and mentoring junior team members. It focuses on client portfolio management issues using AI solutions and quantitative methods.

The Senior Insight Analyst at UNiDAYS drives decision-making through data analysis, collaborating with stakeholders to provide actionable insights. Responsibilities include managing analytical projects, communicating findings effectively, and ensuring the technical delivery of insights. Candidates should have a strong background in statistical analysis, data visualization, and experience with tools such as SQL and Python.

The Technical Analyst role involves overseeing change control and data quality through UAT testing, managing BARB data configurations, leading issue corrections, and facilitating communication with client services. The analyst will support data operations and report writing, ensuring proper documentation and adherence to service delivery timelines.

The MI Analyst will assist in enhancing actuarial data systems by developing and improving reports, managing datasets with Data Lake, and supporting data scientists with analytical projects. Responsibilities include validating datasets, performing impact analysis, and maintaining dashboards.

As an Insights Analyst in the Data Insights team, you will develop reporting and dashboards, communicate insights to inform business decisions, engage with stakeholders, prioritize reporting requirements, and contribute to the data strategy of the organization.

The Senior Insights Analyst will support internal clients with customer analysis, define KPIs, ensure data integrity, and manage complex customer segments and predictive modeling. The role involves collaborating with stakeholders to utilize data effectively and translate insights into actionable recommendations.

The Senior Analyst will drive the implementation of analytics solutions within the Compliance & Audit team, managing data-driven projects and collaborating with cross-functional teams to enhance Mundipharma's control environment.

The Sr. Analyst in Process Analytics is responsible for identifying areas for improvement using data-driven analysis, facilitating workshops, and developing process maps. They support data-driven decision-making and conduct process assessments to drive efficiency and transformation. The role requires strong communication skills and knowledge of Lean Six Sigma principles to improve business processes effectively.