MGR/AVP - Senior AML Data Analytics Analyst

CFS AML Risk Management (CARM) is an operational risk management team under OCBC Consumer Financial Services (CFS) Singapore business unit. The team actively works in partnership with CFS Business Risk Management Team (BRMT) to manage CFS AML risk in a highly demanding and fast paced environment, with opportunities and exposure in the area of proactive AML risk management for aspiring AML expertise individuals.
The individual is expected to contribute towards the success of CARM in performing the following tasks as part of their career in CARM:

• Drive OCBC banking's AML/CFT data analytics capabilities to enhance risk detection including but not limited to AML, CFT and Sanctions risks
• Able to thrive in a fast paced environment, manage analytics roadmap and milestones, keep up to date with industry trends and regulatory expectations.
• Synergies and collaborate with internal and external stakeholders to understand analytics business requirements and problem formulation
• Translate business requirements into structured data extraction requests for data analysts, research and suggest suitable methodologies to obtain targeted output
• Review effectiveness metrics to further optimise thresholds and parameters, participate in feedback loop from analysts to pinpoint areas of improvement
• Manage end to end analytics workflow, including but not limited to documentation, sharing of insights, metric tracking and reporting, etc.
• Conduct investigations on unusual transactions including performing fund tracing, internal / public domain research, transaction lookback, investigative reviews to identify potential networks and bad actors
• File Unusual Transaction Reports (UTRs) to the FIU team where required and recommend appropriate risk mitigating measures
• Provide advice or feedback to business units / business compliance on STR related issues for future risk management
• Participate in ad-hoc AML related projects

Qualifications
Education and Work Experiences:

• Diploma or Degree holders aspiring to develop a career in AML risk management and surveillance through data analytics
• Minimum 3 years of Sanctions/AML/CFT/ financial fraud operational or transaction monitoring / investigation experience
• Individual with leadership experience will be considered for a Lead role.

Added advantage for individual with:

1. Certification in Sanctions / AML / CFT and/or
2. Certification in Data Analytics related courses

Technical Skills:

• Technical knowledge and general understanding of regulatory requirements for retail banking products and services.
• Solid foundation in AML/CDD/CFT/Sanctions concepts, typologies and red flags with demonstratable experience in this field
• Good stakeholder management, communication and presentation skills. You will also need to be highly detailed oriented to manage and track the large volume of reviews and output arising from analytics triggers
• Detail oriented and able to document the processes and results which are subject to auditable checks by internal audit and regulators
• Strong analytical and investigation skills to make sound recommendations

Added advantage for individual with:

1. Understanding of the data analysis pipeline, data infrastructure and work well with large datasets.
2. Basic understanding of data analysis tools and languages such as Python, SQL, Excel VBA, Qlikview, PowerBI

Personal Traits

• Passionate in developing a career in AML risk management, in particular using a data driven approach
• Independent self-starter with a strong positive mindset and self-motivation ability
• Possesses an inquisitive mind and raises critical challenges to augment current work processes
• Strong attention to details, problem-solving abilities and resourceful
• Able to be versatile, proactively participate in team projects and recommend analytics solutions to solve issues where appropriate
• Good written and oral communication skills and ability to interact effectively with people at different levels
• Forward looking and embraces technology to drive efficient and effective AML risk management.
• Committed and focused individuals, Positive and progressive behavioural traits, Good team player