Vice President, Analytics Translator

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

OVERALL ROLE PURPOSE:

• Working within the Group Data Office CoE, you will partner with Regulatory Compliance stakeholders to leverage huge volumes of Structured and Unstructured data to solve real-world financial crime problems.
• You will act as a Product Manager for Group Legal & Compliance to understand their problem statements & proactively identify opportunities for Data Science and Analytics techniques to improve our services.
  You will then lead cross-functional squads of data analysts, engineers, and scientists to deploy production solutions to deliver business impact such as reduced risk and increasing productivity.
• We believe that variety is good. You’ll get the chance to work on a wide range of Use Cases across the business covering areas such as Anti-Money Laundering, Sanction analytics, KYC optimisation and Fraud Detection – but going very deep on specific areas where necessary.

RESPONSIBILITIES:

• Own the relationship with senior business leaders across OCBC Group to identify & prioritise opportunities for leveraging big data and Data Science to drive innovation.
• Be a thought leader, proactively bringing forward ideas for how data & AI can help bring our Financial Crime capabilities to the next level.
• Be the bridge between Data, Business, and IT teams to ensure a common understanding of the analytics roadmap and key analytics projects.
• Act as product manager on key analytics projects, leading the delivery through agile squads of data engineers, scientists, and business users to deliver our analytics projects at speed and at scale.
• Develop & execute analytics project plans - managing timelines, requirements, risks, and issues
• Actively measure analytics value by defining, tracking, and communicating project benefits to senior stakeholders.
• Use Data Storytelling to convince business stakeholders to act on analytical insights.

Qualifications

REQUIREMENTS:

Specific Knowledge:

• 5 years+ of project management, consulting, business development or product management.
• Strong knowledge of key Analytics principles & techniques.
• Experience of delivering significant projects using Agile methodologies
• Work experience in financial services crime preferred – ideally with experience of directly collaborating with data teams to implement data driven solutions such as network analysis and graph-based community detection.
• Some knowledge of MAS supervisory approaches would be advantageous (but not essential)

Communication & Soft Skills:

• Creativity to see possibilities within the data & translate into compelling stories, decisions, and recommendations for non-technical business users.
• Strong verbal and written communication skills – with ability to explain technical concepts to less-technical audiences
• Ability to build enduring relationships with people at all levels of the organisation
• Energetic personality with an innovative, self-starting spirit.