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Supports risk management digital transformation through data analysis, process improvement, automation, dashboard development, reporting, visualization, and stakeholder collaboration. The intern contributes to AI, Digital and Data initiatives, prototypes, workflow optimization, and innovation projects within Provision & Capital Analytics while gaining exposure to credit portfolio risk management and capital analytics.

Supports operational risk management across banking business units through risk and control reviews, RCSA activities, operational risk analysis, data quality validation, process assessments, reporting, and stakeholder engagement. The intern will gain exposure to risk governance, the Three Lines of Defence model, control evaluation, root cause analysis, and operational resilience.

Supports market risk monitoring, exposure and sensitivity analysis, limit tracking, escalation, management reporting, dashboard development, data analysis, visualization, and process improvement across trading portfolios. The intern will work with market risk professionals and develop quantitative, analytical, communication, and risk-management skills while gaining exposure to financial markets and derivatives.

Analytics Intern supporting AI and machine learning model development, quantitative risk analysis, data analytics, model testing, and evaluation of financial-services use cases. The role involves researching emerging techniques, analyzing complex datasets, validating models, and collaborating with quantitative analysts, risk managers, business teams, and technology stakeholders within Group Market Risk Management.

Supports enterprise AI initiatives within Legal and Compliance by developing AI-enabled applications, researching emerging technologies, contributing to UI/UX design, creating digital content, and assisting with stakeholder engagement, project communications, and transformation projects. The internship provides exposure to AI solution development, digital transformation, change management, and business innovation in a financial-services environment.

Supports AI, Generative AI, data analytics, and digital transformation initiatives within credit risk modelling. Responsibilities include analysing datasets, evaluating AI-driven monitoring capabilities, enhancing model lifecycle processes, improving documentation and governance, researching emerging technologies, and collaborating with risk, data, and technology stakeholders on banking projects.

Leads the Chief Investment Office’s Product and Business Management team across product lifecycle management, business planning, operational support, risk governance, information security, and transformation projects. Oversees fund and portfolio product operations, regulatory and control frameworks, management reporting, vendor and budget oversight, and cross-functional initiatives. Partners with senior management, front office teams, legal, compliance, auditors, and regional stakeholders to improve processes and manage operational risk.

Support credit risk infrastructure initiatives through business requirements documentation, data analysis, project implementation, user acceptance testing, validation, reconciliation, and data quality checks. Collaborate with business and technology stakeholders on system enhancements and risk analytics projects while developing skills in Python, SQL, data engineering, and technology-enabled risk management.

Supports counterparty credit risk infrastructure through system maintenance, monitoring, data analysis, automation, process improvement, reporting, and project initiatives. Collaborates with risk, technology, and business teams to enhance risk platforms and data quality while gaining exposure to financial markets, Global Markets products, and wholesale credit risk management.

Supports enterprise data governance initiatives across data lineage, data quality, data catalogues, taxonomy, discovery, and impact analysis. Assists with data analysis, reporting, dashboard development, stakeholder requirements, process improvements, and ad hoc risk-management projects. The internship provides exposure to BCBS239 principles, regulatory reporting, data governance frameworks, and tools for managing enterprise data assets.