Top Data & Analytics Jobs in London,

Join JPMorgan Chase & Co. as a 2025 Applied Research Blockchain and Cryptography Summer Associate. Work on advancing blockchain and privacy, conducting novel research solutions, and contributing to intellectual property protection. Ideal for individuals with a quantitative research or software development background and a passion for cutting-edge technologies.

Lead strategic change initiatives, gather and prioritize requirements, support business case development, communicate roadmap to stakeholders, provide governance, identify risks, maintain program reporting, coach team members

Drive strategic change initiatives in partnership with Product, Technology, Lines of Businesses, and Corporate Functions. Gather, prioritize requirements, input into solution design, and support business case development for strategic programs. Communicate roadmap, drive governance, identify risks, and maintain program reporting. Requires commercial experience in strategic change or product development, strong program/project management skills, analytical skills, and communication abilities. Proficiency in MS Excel and PowerPoint. Bachelor's degree in business, finance, economics, or related area preferred.

Exciting opportunity for an Analyst in EMEA M&A Private Capital Advisory at J.P. Morgan, working on private capital transactions, designing capital solutions, managing investor communication, modeling structures, and preparing transaction materials. Must have IB internship experience, strong desire for optimal outcomes, interest in private capital, corporate finance proficiency, and excellent communication skills.

Lead the design, development, and implementation of a resiliency risk model using data science expertise. Collaborate with cross-functional teams to deliver models and insights for technology and recovery risk. Present findings and recommendations to senior management.

The Machine Learning Center of Excellence is seeking an NLP / LLM Scientist - Applied AI ML Lead to apply sophisticated machine learning methods in natural language processing, speech analytics, time series, and recommendation systems. Responsibilities include research, development of ML models, collaboration with partner teams, and driving firm-wide initiatives. Required qualifications include a solid background in NLP, a PhD in a quantitative discipline, extensive experience with ML and DL toolkits, and the ability to design experiments and training frameworks. Preferred qualifications include a strong background in Mathematics and Statistics, experience with search/ranking, Reinforcement Learning, and A/B experimentation.

Analyzing global human capital and workforce data to create insights and customized models for evidence-based decision-making in HR. Developing analytics solutions, conducting data analyses, and collaborating with internal experts to drive measurable business outcomes.