Financial Crime Analytics Detection Manager

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 Applied Analytics Manager will develop industry-leading analytical work focused on providing 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 a strong mathematical and programming background oriented to data analysis as well as a strong problem-solving ability.

Main activities

• Driving systemic management of risk across the bank.
• Promoting the conceiving, development, testing, and validation of incremental and disruptive analytic techniques to protect the bank and predict financial crime threats.
• Promoting more efficient and effective outcomes across investigations and analysis, allowing fast iteration and deployment of a variety of experimental techniques into operational systems.
• Delivering a data-driven approach to strategic risk modelling for financial crime risk.
• Providing tactical support for complex investigations and networks and iteratively testing analytic methodologies against known and discovered threat activities.
• Engaging in active mitigation of financial crime risks.
• Ensuring experimental techniques are rigorous and purpose-built to enable timely approval, regulatory scrutiny, and independent validation.
• Drawing strategic context and conclusions and presenting those findings to senior stakeholders to drive strategic and tactical decisions.
• Developing efficient and effective solutions to complex issues.

Requirements

• Strong mathematical (BSc in Mathematics, Computer Science, Statistics, Physics) and programming background (Python, R, SAS) oriented to data science. MS would be a plus.
• Strong problem-solving ability.
• Experience building AI models (search, logical, probabilistic, learning).
• Excellent communication (verbal, written, and through data-based visualizations) and inter-personal skills.
• Proficient English is required, both verbal and written.
• Basic understanding of the harms associated with financial crime.
• Excellent time management, as the position requires independent decision making.