We are currently seeking an ambitious individual to join our team as a Senior Fraud Analytics Manager, working together with colleagues to define, manage and achieve divisional business targets.

Role Purpose

WPB Data, Analytics and CRM CoE is Global organization that specializes in providing state of art analytics and solutions to the WPB Business. The function supports Product, Channel, Pricing, Fraud and several other areas within WPB. The department has more than 300 Machine Learning Users and are building this capability with several use cases. Opportunity to leverage advanced analytics to solve business problems.

Fraud Analytics plays a major role in curbing fraud risk. The team develops various counter-fraud solutions across a plethora of WPB products. The Team caters to fraud mitigation endeavours across multiple financial products. The team is involved in identification, formulation and implementation of various analytical processes and projects in Fraud domain. All members of this team are expected to carry out following activities:

The Senior Manager will play a crucial role in leading and identifying opportunities in the Fraud Analytics space. This could lead to creation of new squads, work with key stakeholders to mitigate Fraud and develop the right analytics strategy for the specific domain area. The Senior Manager position will provide thought leadership and will take ownership and accountability for the analytical solution being proposed. The Senior Manager will have opportunity to lead a team of Data Scientists and Senior Analysts both in regions and global analytics centres. The areas that could involve are card transaction fraud, digital payment and application/account take over fraud.

In this role, you will:

• Lead and drive change for specific areas under Fraud typologies.
• Be in charge of the leadership for people and projects related to specific fraud typology analytics.
• Deliver value for the Global Fraud Analytics through data, analysis, reporting and insight. Harnessing the value that is available from robust information in relation to channel performance and customer behaviour.
• Carry out statistical tests to detect correlations and causality on large and complex data sets.
• Lead the development, testing and maintaining mathematical models and predictive models for use by internal stakeholders and data analytic teams.
• Develop programs which automate data collection, assimilation, aggregation and visualisation.
• Understand business workings and processes so to determine the best manner in which data can be used to provide insights.
• Analyse data from internal and external systems to develop enhanced business value, enhanced predictive capability and increase operating efficiency.

Requirements

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

• Experience primarily in analytics banking/finance or Fraud.
• A relevant first numerate degree in either mathematics, statistics, computer science (or equivalent quantitative area) or business, media, communications with quantitative background. 
• Subject Matter expertise in Fraud Analytics and allied areas.
• Team management experience with leading and building diverse teams to support fraud analytics solutions.
• Proven experience in using advanced analytics and machine learning to solve large complex problems.
• Proven knowledge and experience of SQL and other Database/Data Manipulation tools.
• Expertise in data visualization tools and techniques – previous experience with Qliksense, Tableau or similar.

You’ll achieve more when you join HSBC.