Compliance Manager, FCC Intelligence

Bank of Singapore opens doors to new opportunities.

At Bank of Singapore, we are constantly on the lookout for exceptional individuals to join our team. We promote a culture of openness, teamwork and fairness. Most importantly, we invest in our people through our programmes that develop them on both professional and personal levels. Besides attractive remuneration packages, we offer non-financial benefits and opportunities to develop your potential within OCBC Group's global network of subsidiaries and offices. If you have passion, drive and the will to succeed, rise to the challenge today

This role is within the Intelligence & Innovation (I&I) team of Financial Crime Compliance (FCC) Department who is responsible for managing the end-to-end Anti-Financial Crime Data Analytics Risk Surveillance control for the bank that covers the data analytics innovation strategy, researching, designing, and prototyping of innovation concepts, driving the implementation of key data analytics projects, surveillance and escalation of red-flags, intelligence investigations, control gap analysis and continuous enhancements of controls.

The I&I team is a mission-critical team to successfully pivot the FCC department towards proactive detection of financial crime risks to the bank and dynamic monitoring of clients that is anchored on intelligence and data analytics capabilities to fulfil the "Future of Financial Crime Compliance" vision and transform key FCC controls for the bank.

The successful candidate is expected to have strong knowledge and experience in the investigation of financial crime red-flags and be knowledgeable in data analytics and artificial intelligence techniques. The candidate is expected to be able to work well within a team and take initiative and ownership over his/her own area of work.

Main duties

• Holistic analytics profile investigation into suspicious transactions and/or activities/behavior trigger from data analytics intel seeds or Specific Triggering Events Program that includes - analytic transactional and behavioral review as well as analysis of the counterparty network relationship and demographics.
• Ensure timely review and prepare Analytic Innovation & Intel Reports as well as closure of suspicious transaction reports trigger from data analytics Intel seeds or Specific Trigger Events Program.
• Work with Innovation & Surveillance team members to assist in the design BOS data analytics initiatives and improve BOS data analytics features from the data analytics investigation post-mortem analysis.
• Design and develop specialized financial crime risk surveillance data analytics initiatives for key targeted and emerging risk focus areas (e.g., SFO, VCC, emerging technology trends such as virtual assets and fintech entrepreneurs/business owners).
• Sharing of intel seeds arising from I&I review with Client Onboarding Life Cycle and Dynamic Review Teams for dynamic trigger event review.
• Maintenance of the case register for monthly Data Analytics Effectiveness Metric reporting to Board & Senior Management & regulators .
• Contribute, update, and implement Data Analytics AML/CFT related policy and procedures.
• Conceptualize analytical insights and intelligence to various stakeholders through a coherent storyline based on reports & presentations.

Work experience requirements

• Degree with minimum 3 years in FCC investigation and filing of suspicious transaction report.
• Understanding of the FCC landscape in a Private Banking environment in Singapore.
• Strong analytical, logical mind, and keen eye for details with the passion for problem solving, research and investigation.
• Robust stakeholder management skills and good interpersonal skills with the ability to work confidently and collaboratively with cross-functional stakeholders of varying seniority.
• Excellent written and verbal communicator to both technical and business audiences

Education requirements

• A University degree in Analytics, Statistics, Economics, Business, Engineering, Information Technology, Data Sciences, Math or related fields.
• Strong experience in financial crime and knowledge in data analytics and artificial intelligence techniques

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