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R0197071 CAO-Lead Analytics,VP

Employer
Deutsche Bank
Location
Singapore, Singapore
Salary
13 - 15
Closing date
Oct 7, 2022

View more

Job Function
Accounting/Audit/Tax
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Details of the Division and Team:

Regulation, Compliance and Anti-Financial Crime (AFC) protect the integrity and reputation of Deutsche Bank. They manage the Bank's risks and help to avoid unintentional rule breaches and conflicts of interest. At the same time, they also advise on ethical conduct, governance issues and keep our organisation up-to-date on regulatory and political challenges.

Department

Deutsche Bank (DB) is committed to the highest standards of control in the areas of Anti-Money Laundering (AML), Sanctions & Embargoes, Anti-Bribery and Corruption (ABC) and Anti-Fraud (collectively referred to as Anti-Financial Crime). All employees are required to adhere to these standards to protect DB and our reputation from those who may intend to use our products and services for illegal purposes including, but not necessarily limited to, money laundering, bribery, corruption, fraud and/or terrorist financing.

AFC's Mission is:
  • To be a trusted and respected independent control function that aims to protect the bank from financial crime risk.
  • To establish a proactive framework to prevent, detect, investigate and report bank-wide financial crime risk events

What we will offer you:

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:
  • Flexible benefits plan including virtual doctor consultation services
  • Comprehensive leave benefits
  • Gender Neutral Parental Leave
  • Flexible working arrangements
  • 25 days of annual paid leave, plus public holiday & Flexible Working Arrangement

Your key responsibilities:

The Transaction Monitoring (TM) Team exists to ensure that in-scope DB systems are at all times being used in accordance with the legal and regulatory Anti-Money Laundering framework within the APAC region, and to escalate issues of concern to AFC Management in a timely manner.

Accurate data is foundational to the smooth operations of the AFC Transaction Monitoring functions. Associated processes such as data traceability, lineage and reconciliation are similarly key imperatives in the AFC Transaction Monitoring landscape with significant governance and regulatory oversight.

The role reports to the Head of APAC AFC Modelling as part of the wider APAC Anti-Financial Crime Team. The main focus of the role will be to provide strategic direction and regional leadership in developing and validating architectural constructs of regional TM systems deployment, including downstream delivery into Case Management and enterprise data lakes. The role's remit shall cover data sourcing into TM systems as well as ingestion of data into Case Management systems. Applications generating MI pertinent to the TM ecosystem shall also be part of the remit. The TM ecosystem interfaces with an increasingly complex ecosystem of data publishing systems and enterprise data lakes. Will need to closely monitor changes in the ecosystem, ensure adherence to standards and recommend the most efficient architecture to ensure that TM objectives are not compromised.

Will also be responsible for working closely with internal stakeholders and global data partners to develop appropriate controls and standards and ensure implementation and execution of both the framework and technology applications required to maintain and enhance the TM workstream.

Key Responsibilities:
  • Ensure that the enterprise architecture covering regional TM and AFC Modelling systems is fit for purpose.
  • Work with the data programme regionally to ensure there are sufficient internal controls to promote effective risk management practices and prioritizes focus on areas identified as having the highest risk to DB
  • Recommend architectural options to ensure that aspects covering
    • Lineage
    • Traceability
    • Reconciliation

For AFC data are robustly designed and adhered to
  • Understand detailed regulatory requirements and Business/Industry trends related to data controls.
  • Design data reconciliation dashboards using visualisation tools (for e.g. Tableau)
  • Share and leverage insights to continuously improve the overall health of the AFC Modelling and TM architecture to improve efficiency

Your skills and experience:

You will have:
  • In-depth knowledge and working experience of implementing enterprise class application configuration and deployment projects in AFC ecosystems for large multi-geography FI's
  • 10+years' experience in an AML/CTF role with strong focus on systems architecture
  • Of the above 5+ years of experience in enterprise class payments systems.
  • 5+ years of experience in a global/ regional data office/advanced analytics team.
  • Significant experience in working on large enterprise class data analytics and MI projects for an AFC ecosystem
  • Experience working with Regional and Global regulatory environments, with practical knowledge of DFS 504 standards
  • Advanced Subject Matter Expertise in the international payment's ecosystem as relevant to AFC . Detailed knowledge of SWIFT and RTGS systems. Working knowledge of ISO 20022 standards
  • Detailed knowledge of data interfaces to Client Lifecycle Management systems
  • Technical experience in big data platforms and cloud based ecosystems; working knowledge of SQL in Oracle and Hadoop environments. Working knowledge in data science, big data tools and infrastructural components such as PySpark / Jupyter
  • Working experience of Microsoft Office products, specifically advanced MS Excel functionality
  • Knowledge of Retail, Corporate, Wealth, Correspondent Banking and Transaction Banking products.
  • Prior experience with TM and Case Management systems from Oracle FCCM / Mantas, Detica or Actimize.

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