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Data Scientist (Mules), WPB

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

This role is responsible for developing data science techniques to enhance HSBC’s fraud detection capability, with particular focus on the identification of mules.

The role will have an entity reporting line into Fraud Management and a Functional Line into Strategic Fraud Analytics.

The Strategic Fraud Analytics team sits within this Centre of Excellence and plays a major role in combating fraud, with a focus on putting data science capabilities at the centre of HSBC’s fraud strategies. The team develop counter-fraud solutions across both WPB and CMB and are involved in the identification, formulation and implementation of analytical processes to protect HSBC and its customers against financial crime.

In this role, your responsibilities will be to:

• Lead the analytics wok stream to develop data-science led strategies to support the identification of mules.
• Develop, test and maintain sophisticated mathematical and machine learning models to predict future scenarios and customer behavior.
• Research, develop and test novel AI/ML model solutions to business problems
• Drive and own the development of fraud detection models across all stages of the model lifecycle in line with the guidelines set out in the Group Model Risk Policy (GMRP), Group Model Risk Standards (GMRS) and the Model Category Standards (MCS).
• Provide general analytics support and expertise across the fraud community, including supporting the decisioning teams in their BAU initiatives to suppress Fraud losses.

To be successful in this role you should meet the following requirements:

• Strong background in Mathematics and Statistics.
• Experience in using cloud-based analytics tools (e.g. Python, Big Query).
• A relevant first numerate degree in either mathematics, statistics, computer science (or equivalent quantitative area).
• Proven experience in using advanced analytics and machine learning to solve large complex problems
• Proven ability to drive rapid insights from available data to drive business forward.
• Excellent organisational, problem-solving, inter-personal and communication skill

The base location for this role can be either Birmingham, Sheffield or London.

HSBC is committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We are proud members of the Disability Confident Scheme, and will offer an interview to disabled candidates who meet the minimum criteria for the role. If you would like to receive any information in a different way or would like us to do anything differently to help you apply for our roles, please contact our Recruitment Helpdesk:
Email: [email protected]
Telephone: +44 2078328500

Within the workplace you will have access to various employee resource groups which aim to promote and achieve a healthy work / life balance and support our diversity ambitions. HSBC has processes in place to avoid nepotism. This means we will avoid circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.