Regulatory Reporting & Data Analytics Lead

Deutsche Bank; Taguig; On-site; PHP 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Medical and Life Insurance upon employment

Development and wellbeing support

Job summary

Deutsche Bank in Manila is looking for a TDI - Business Functional Analyst to lead business solution design within complex projects. The role involves high-volume data analytics and developing data models to enhance reporting efficiency. Candidates should possess strong analytical skills, experience with SQL and Python, and a good understanding of risk and financial functions. The position includes benefits such as medical and life insurance, supporting both personal and professional development.

Qualifications

• Hands-on experience in high-volume data analysis is essential.
• Experience with SQL, Python, and data processing frameworks is required.
• Understanding of Risk Control and Finance functions is crucial.

Responsibilities

• Perform high-volume, content-driven data analytics for regulatory reporting.
• Contribute to the design and customization of data warehouse components.
• Develop business data models to support evolving reporting needs.
• Conduct business impact analysis and reverse engineering of data flows.
• Identify data trends to drive insights and improvements.
• Manage the investigation of data issues impacting regulatory metrics.
• Analyze root causes and work with teams for long-term fixes.

Skills

Analytical skills with hands-on experience in high-volume data analysis

Experience of IT analytics tools and technologies such as SQL, Python

Experience with Axiom regulatory reporting platforms

Understanding of Risk Control, Accounting, Treasury, or Finance functions

Appreciation of Investment Banking products and core regulatory metrics

Familiarity with front-to-back system architecture and data flow

Job description

Deutsche Bank in Manila is looking for a TDI - Business Functional Analyst to lead business solution design within complex projects. The role involves high-volume data analytics and developing data models to enhance reporting efficiency. Candidates should possess strong analytical skills, experience with SQL and Python, and a good understanding of risk and financial functions. The position includes benefits such as medical and life insurance, supporting both personal and professional development.