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Deutsche Bank seeks a Data Operations Analyst to support the Compliance Anti-Financial Crime data framework. You will manage data sourcing, quality controls and ETL processes to enable risk analytics and MI reporting.
The role emphasises data governance, catalogues and clear documentation for auditability and resilience. Strong Excel, ETL, Tableau skills and experience with data repositories and metadata are essential.
Job Description: Role Title: Compliance Anti-Financial Crime - Data Operations Analyst, Sr Analyst
Location: Manila Corporate Title Non-Corporate Title Work Schedule : 12NN - 9PM
This role sits within the C AFC F P team responsible for the implementation and execution of the risk management framework for C AFC risks across the bank, including methodology, processes, systems and training. Within F P, the Analytics, Insights and Monitoring (AIM) team is responsible for designing and enabling C AFC processes and applications used for issue management, management information (MI) and reporting, with a data team responsible for prioritising, sourcing and quality controls over the data used to enable advisory, risk management and oversight activities. This role is focused on ensuring that C AFC data is sourced, controlled, documented and prepared to a standard that enables reliable risk management, analytics, MI and reporting. As a Data Operations Analyst, you will maintain the data processes, repositories, catalogues and dashboard inputs that support critical control processes, risk metrics, risk assessments and Group-level reporting. By ensuring data is accurate, consistent, complete and clearly governed, the role provides the trusted data foundation required for effective oversight, insight generation and decision-making across the C AFC function.
A healthy, engaged and well-supported workforce is better equipped to do its best work and, more importantly, enjoy life inside and outside the workplace. That is why we are committed to providing an environment with your development and wellbeing at its centre.
You can expect:
Experience in data governance, data operations, risk management, compliance, anti-financial crime, or financial services control processes is preferred. Experience supporting operational processes with clear evidence standards, change control, and repeatable execution disciplines is highly beneficial.
Degree-level education is preferred, ideally in finance, economics, data analytics, business, technology or a related discipline.
Fluent spoken and written English.
Advanced Microsoft Office skills, particularly Excel and PowerPoint. Experience with Tableau, Power BI, data catalogues, data repositories, and workflow or reporting platforms would be advantageous.
Awareness of artificial intelligence applications and their potential use in data quality, analytics and reporting is beneficial. Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
Deutsche Bank is a leading global bank with strong European roots and a global network. The Compliance and Anti-Financial Crime function plays a critical role in helping protect the Bank, its clients and society from financial crime, regulatory and conduct risks. The role holder will contribute to strengthening the Bank’s risk assessment capabilities by supporting consistent, data-driven, well-governed and defensible assessment outcomes across the region We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.