Data Analyst
Role details
Job location
Tech stack
Job description
The consultant will operate in a complex financial environment, working closely with and for the Group Risk and Group Treasury department to ensure accuracy, consistency, and transparency across reporting processes., You will:
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Contribute to and support risk and treasury testing process based on risk and treasury calculations and reporting processes, with a strong understanding of how financial instruments behave.
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Apply your expertise in valuation of financial instruments and financial or regulatory reporting to interpret and validate complex data sets.
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Perform deep dives into data, identifying root causes of data quality and reconciliation issues with other reporting systems. This in support and cooperation with the Risk and treasury business teams.
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Investigate and resolve reconciliation discrepancies across different data sources and reporting layers.
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Develop, maintain, and improve data-related documentation, including: o Data lineage documentation o Data dictionaries o Metadata and process documentation
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Collaborate with internal stakeholders while working autonomously in a result-oriented consulting setup.
Requirements
- Proven experience in data engineering or data analysis within a financial institution or a closely related environment.
- Strong understanding of banking business and financial products.
Technical & Functional Skills
- Working knowledge of risk calculations and regulatory reporting, or financial reporting.
- Working knowledge of IRRBB or liquidity risk.
- Proficiency in SQL for data analysis and investigation.
- Experience working with QS.
- Hands-on experience with RiskPro or a comparable risk reporting / calculation tool.
- Good knowledge of data modeling methodologies for data warehouses and data marts (considered a plus).
- Experience with JIRA and Confluence is a plus.
Ways of Working
- Strong analytical mindset with attention to detail. Including the ability to foresee in documentation and progress reporting.
- Comfortable performing root-cause analyses and working with complex datasets.
- Able to work autonomously, take ownership, and deliver results in a demanding environment.
- Fluent in English, both written and spoken.