Top Tech Jobs & Startup Jobs in London

Develop and validate quantitative models and algorithms for risk and treasury operations. Responsibilities include data analysis, backtesting, model assessment, software and tool enhancement, financial optimization, and collaboration with internal teams. The role involves applying academic quantitative knowledge to banking, financial instruments, and global markets while proposing solutions to complex modeling challenges.

Build end-to-end data, analytics, machine learning, generative AI, and agent-based solutions. Develop predictive models, conduct experiments, analyze trends, create insights, and support governed, secure, scalable data platforms. Collaborate in agile teams while applying data management, privacy, risk controls, and compliance practices. The program includes mentorship and training for students pursuing quantitative or technical degrees.

Nine-week Global Finance and Business Management internship supporting finance teams across product control, financial control, planning and analysis, regulatory reporting, business management, and program management. Interns gain industry training, mentorship, and practical experience, with potential progression to a three-year analyst program. Responsibilities include financial analysis, reporting, forecasting, accounting controls, regulatory capital oversight, risk mitigation, and strategic business support.

Nine-week Human Resources internship involving an end-to-end HR project, people analytics, onboarding or HR technology workflow analysis, and recommendations for senior stakeholders. The intern will collaborate with HR product owners, analytics teams, and business leaders; use and critically evaluate AI tools; participate in training and mentorship; and develop skills in problem-solving, data literacy, communication, and forward-looking people strategies.

Nine-week summer internship supporting analytics, project management, and process improvement initiatives. Responsibilities include analyzing data, identifying trends and inefficiencies, developing actionable recommendations, coordinating projects across teams, managing risks, communicating with stakeholders, and helping implement measurable process improvements. Interns gain exposure to senior leaders, business operations, AI-enabled tools, and multiple corporate functions.

Software Engineer Interns design, develop, test, troubleshoot, and document secure software solutions. They collaborate with engineers, managers, and stakeholders, apply automation throughout the software development lifecycle, and use approved AI development tools for coding, testing, refactoring, and documentation while validating output quality, security, and correctness. The program includes training, mentorship, networking, and potential full-time opportunities after graduation.

Supports quantitative risk and treasury research by analyzing data, backtesting strategies, maintaining software tools, evaluating model soundness, and developing, validating, and enhancing mathematical models and algorithms for financial applications.

Summer interns will help shape mobile banking customer experiences while developing toward a product management career. Responsibilities include generating ideas, crafting strategies, collaborating across teams, and gaining exposure to fintech and digital business areas. Candidates should demonstrate communication, problem-solving, curiosity, leadership, entrepreneurial thinking, and an interest in fintech and digital experiences. The application requires a resume, location preference, and a recorded HireVue interview.

Conduct quantitative research for risk and treasury operations by analyzing data, backtesting strategies, developing and validating mathematical models, assessing model risks, and improving software tools. Collaborate with internal teams to optimize financial solutions across asset classes and instruments while presenting complex quantitative concepts clearly. The role is designed for PhD students and offers practical financial modeling experience with potential full-time opportunities.

Conduct quantitative research for systematic trading and financial markets. Develop mathematical models, algorithms, and infrastructure to price, hedge, and trade financial products. Perform alpha research, model calibration, portfolio optimization, and risk management while collaborating with traders, technologists, sales, marketing, and risk teams. Translate research into trading applications and communicate findings clearly. The program includes hands-on training and may lead to full-time employment.