
Data Remediation Analyst
4 days ago
Job Overview
We translate complex banking exposures into impacts on risk-weighted assets and provisions, aligned with evolving business needs and regulatory requirements.
The role involves understanding the bank's products and credit risk exposures, including related processing activities and technology solutions.
If you have a drive to collaborate and a sense of urgency to deliver, we want to hear from you.
Key Responsibilities:
- Perform historical default data analysis, collection, and enhancement for wholesale banking portfolios, adhering to regulations related to ING's Default definition and LGD estimation.
- Assist management in developing processes, tracking KPIs, and managing ad-hoc requests, including regulator inspections.
- Conduct data remediation for default cases across various wholesale banking products.
- Collaborate with experts to ensure data quality for current default cases in the LGD lab.
- Support process improvements and remediation project coordination.
- Interact with credit risk officers and front office teams regarding loans.
Key Capabilities/Experience:
Candidates should have experience in credit risk, data management, or related fields, with knowledge of wholesale banking products and default policies.
Skills in data analysis tools like Excel, VBA, Access, Python, SQL, SAS are preferred. Strong analytical, communication, and stakeholder management skills are essential.
Knowledge of credit risk concepts like PD, LGD, and EAD is advantageous.
Minimum Qualifications:
Proactive candidates with a background in wholesale banking lending, credit risk, restructuring, or refinancing are desired.
Excellent communication skills in English, a critical and analytical mindset, and a willingness to complete tasks are required.
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