Financial Crime Threat Mitigation (FCTM) 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 damage associated with financial crime. FCTM harnesses intelligence, analytics, technology, investigation, information sharing, and public-private partnership to achieve this end, always seeking the most effective and efficient means. FCTM is also partnering with Financial Crime 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, transaction monitoring and fraud.
The Systems Delivery team ensures that essential systems and data are available to enable FCTM to conduct effective and efficient investigations and analytics. The team is proactive and future-looking, shaping financial crime technology and promoting its adoption across Financial Crime Risk (FCR).
The role holder will be responsible for the identification, analysis and implementation of requirements for new capabilities used by FCTM and GRA, and providing the tooling allowing technically capable users to assess and analyse financial crime and reputational risk for all of the Bank's clients leveraging datasets in the tens of billions of records using Python, SAS, Hadoop, R, Matlab and Jupyter against a significant sized Hadoop cluster and eventually cloud technologies.
This will require close and productive working relationships with the IT platform team, FCTM and GRA (Group Risk Analysis) on a Hadoop a platform serving hundreds of analysts and wider non-technical stakeholders across dozens of jurisdictions.
The role will be based in Edinburgh, but may require occasional nationwide or overseas travel.
Experience of a multiuser, large scale analytic platform as a user or business analyst.
Proven track record as an outstanding analyst, consultant and/or project manager
Experience or appreciation of the model governance lifecycle.
Extensive experience gathering requirements and conducting design activity, with a mix of business, operations and technology focused projects.
Strong knowledge of the external environment - regulatory, political, competitors etc.
Understanding of data principals, reports and data visualization technologies.
An understanding of modelling lifecycle and automated model testing and control
Understanding of the requirements gathering process for an analytical environment.
Sound understanding of the different varieties of analytic and data science lifecycle.
Internal Number: 5580900
About HSBC Bank plc
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