Top Tech Jobs & Startup Jobs in London

Lead a squad of engineers to design, implement, and maintain core areas within Chase UK. Manage delivery, collaborate with Product team, establish agile practices, and foster top engineering standards. Required qualifications include strong technical background, business-driven mentality, progressive mindset, JVM language experience, automation skills, and microservices design proficiency.

As an Associate within Controls Management, responsible for supporting the product and operations teams in the creation of consumer-centric digital credit products by managing operational risks, improving customer outcomes, and maintaining an effective control environment through various initiatives.

Undertake qualitative and quantitative economic analysis, modelling, and statistical analysis. Update databases, contribute to reports, monitor data releases, and provide support for data requests. Requires a Master's degree in Economics and some experience in the field.

As a Vice President in the CEEMEA Equity Capital Markets Group at J.P. Morgan, the role involves being the primary client contact for ECM deals, leading marketing materials creation, idea generation, risk management, and negotiations. Strong communication, quantitative, and analytical skills are required for this role in the fast-paced finance environment.

The NLP/LLM Data Scientist Lead at JP Morgan Asset Management is responsible for applying NLP, LLM, and ML techniques to enhance investment processes, improve client experiences, and drive transformation. The role involves collaborating with stakeholders, developing models, curating datasets, performing experiments, deploying models in production, and staying up-to-date with the latest research in data science.

As a Lead Platform Software Engineer in the Identity & Security workstream at JPMorgan Chase, you will be responsible for managing public cloud infrastructure, implementing IAM technologies, and upholding the risk and controls landscape of the bank. You will work closely with stakeholders in different teams and countries, ensuring compliance with industry standards and best practices in cloud security.

As a Product Manager in an AI/ML team at a commercial & investment bank, drive end-to-end product development, prioritize requirements, conduct research, measure performance, and manage projects. Required: significant product & program management experience in AI & software industry, stakeholder management skills, AI technical program management experience, agile experience, leadership skills, and knowledge of ML workflow. Desirable: knowledge of Cloud (AWS) computing and architecture, data management technologies, ML platform tools.