Role purpose

Financial Crime (FC) focuses on the specific financial crime threats the firm faces now and in the future, pioneering the techniques and technology that protect our business, our customers, and the many communities in which we operate from the harms associated with financial crime. FC harnesses intelligence, analytics, technology, investigation, information sharing, and public-private partnership to achieve this end, always seeking the most effective and efficient means. FC is also partnering with other areas in Compliance to build the case for a more efficient and effective regulatory approach by defining a potential new regulatory landscape based on practical, tested innovation and serving as a thought leader in the ongoing public debate on the future of regulatory compliance.

The Risk Analytics and Modelling role will develop industry-leading analytical work focused on provide cutting-edge analytic support to intelligence and investigations while pioneering techniques for discovering and targeting actual financial crime risk. The nature of the role requires intermediate - advance mathematical and programming background oriented to data analysis.

Main activities

Driving systemic management of risk across the bankPromoting the conceiving, development, testing, and validation of incremental and disruptive analytic techniques to protect the bank and predict financial crime threats.Promoting efficient and effective outcomes across investigations and analysis, allowing fast iteration and deployment of a variety of experimental techniques into operational systemsDelivering a data-driven approach to strategic risk modelling for financial crime riskEngaging to active mitigation of financial crime risksEnsuring experimental techniques are rigorous and purpose-built to allow for ease of approval, regulatory scrutiny, and independent validation.Drawing strategic context and conclusions, and presenting those findings orally and in writing to senior stakeholders to drive strategic and tactical decisions