Job Description: Details of the Division and Team: Loan Ops is responsible for managing the end-to-end Loan settlement process. This is to ensure smooth and timely market settlement of loan between the bank and its clients. Work includes: - Supporting interaction between internal and external stakeholders involved in the loan process chain - Collect the loan documents from clients and perform the system booking for loan payments - Ensuring adherence to market standards What we will offer you: A healthy, engaged and well-supported workforce is 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: - Corporate Group Insurance – premium borne by company - Medical Checkup – cost borne by company (annual/ biannual basis subject to the employee’s preference) - Remote working arrangement called “Future of Work” - EAP – free and confidential counseling, online work-life resources Your key responsibilities: - Manage clients’ documents such as client’s instructions and other supporting documents - Make Loan payments for clients - Check pending, failed settlements and follow up with clients, etc - Handle special inquiries or requests from clients - Remind and follow-up if no instruction is received from clients by the deadline - Match the settlement instructions with relevant systems - Run settlement in internal application - Review the balances for all accounts after daily movement - Conduct a regulatory reporting - Problem solving when there is any issue Your skills and experience: - Minimum 1-2 years of experience in banking industry covering Loan Operations. (Not mandatory) - Background and work experience in Operations is required. - Strong organizational skills and attention to details are required - A self –motivated, energetic, and able to work independently - Confident, and enjoy working in a performance driven culture - Good communication skills both verbal and written - Good interpersonal skills - A demonstrated commitment to high professional ethical standards and a diverse workplace - Excels at operating in fast pace, community environment - A strong team player, open to direction and collaborative work style and commitment to get the job done - Proficiency in MS office applications How we’ll support you: - Flexible working to assist you balance your personal priorities - Coaching and support from experts in your team - A culture of continuous learning to aid progression - A range of flexible benefits that you can tailor to suit your needs - Training and development to help you excel in your career About us and our teams: Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do. Deutsche Bank & Diversity 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.

• Design, implement, and maintain data pipelines and workflows to support AI and analytics use cases • Manage and optimize structured and semi-structured data using MySQL, Redshift, OpenSearch, and related datastores • Evaluate and implement new database technologies and AWS-native tools to support scalability and performance • Collaborate with data scientists, engineers, and product managers to ensure data needs are met across systems • Build internal tooling for data access, transformation, and quality monitoring • Support infrastructure-as-code and cloud automation to maintain high system reliability

• Collaborate closely with data scientists, architects, and other stakeholders to understand and implement business requirements • Provide data engineering support for AI model development and deployment, ensuring data scientists have access to the data they need in the format they need it • Implement and optimize data transformations and ETL/ELT processes, using appropriate data engineering tools • Work with a variety of databases and data warehousing solutions to store and retrieve data efficiently • Implement monitoring, troubleshooting, and maintenance procedures for data pipelines to ensure the high quality of data and optimize performance • Participate in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogues, data flow diagrams, and process documentation

• Design the business data model based on the discovered business processes and data analysis • Set the standard for AI-augmented development practices • Translate business requirements into technical design specifications • Develop work estimates for Data Warehouse & Data Lake deliverables • Coach and mentor a team of a few dozen data engineers, analysts and ML Engineers • Define the data architecture framework, standards, and principles • Define reference architecture, which is a pattern others can follow • Define data flows, including management and transitions • Collaborate and coordinate with team members, clients and external SMEs