Vice President Financial Crime

Some careers have more impact than others.

Vice President, Financial Crime

Business: Risk & Compliance

Principal Responsibilities

• Assist in delivering an end-to-end oversight of TM framework including data, model, investigation, and risk assessment.
• Prepare the packs / submissions for multiple regional and global governance forums like TMOB, MENAT FC ManCo, etc.
• Preparing TM related papers with highest quality within stringent timelines and present it in competent governance forums.
• Roll out of Global TM Strategy in the Region.
• Review thematic TM issues across Lines of Business (LoBs) and Countries in the Region and liaise with Audit, Assurance and other review functions to help resolve / create consistency.
• Provide appropriate AML SME expertise, with support from the wider FC team, with specific focus on assessing AML risks related to TM as a key control.
• Support the Regional Data Governance in ensuring that the data quality for the identified critical data element impacting TM is improved and complete.
• Responsible for the governance of TM control framework, ensuring that proposed changes or new TM capabilities, support the overall AML goals and enhance the ability to deter, detect and protect against financial crime risks.
• Drive the TM Risk Assessment process in the Region and Country in close collaboration with LoB.
• To form recommendations and provide guidance (both at a strategic and operational level) that are required to ensure the effectiveness of TM monitoring controls.
  

Requirements

• Minimum 8 to 10 years of relevant experience in AML / TM and Sanctions knowledge experience, preferably gained within HSBC or one of its peers.
• Good understanding of business lines operating at global banks.
• Demonstrated experience in managing stakeholders and regional teams handling AML / TM processes such as AML / TM Investigations / Operations.
• Demonstrated experience in handling (from a functional perspective) projects in the FCC space in a global context (example – implementation of Transaction Monitoring systems).
• Experience working in model development and advanced data analytics with advanced tools like Python, R, Qlik, etc.
• Familiarity with Machine learning and AI concepts will be an added advantage.
• Knowledge or experience with machine learning, AI and Technical coding is preferred.
• Logical thinking, problem solving and analytical mindset.
• Excellent communication skill (oral, written, and presentational).
• Maintain a collaborative and positive working environment among all stakeholders and senior leadership team.