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- Aufgaben: Support the implementation of BCBS239 principles and manage risk models for financial reporting.
- Arbeitgeber: Join a leading bank in Berlin focused on financial risk management and data integrity.
- Mitarbeitervorteile: Enjoy a dynamic work environment with opportunities for professional growth and development.
- Warum dieser Job: Be part of a crucial team that influences decision-making and enhances financial stability.
- Gewünschte Qualifikationen: Ideal candidates should have a background in finance, data management, or related fields.
- Andere Informationen: This position is based in Berlin Mitte, offering a vibrant city experience.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
The Data Manager – Credit Risk is part of our Financial Risk Department and reports to the Lead of the Credit Risk Control Unit. As a Data Manager, you will be responsible for supporting the implementation of BCBS239 principles in line with the bank\’s data management framework. Within the Risk Team, we develop and maintain risk models used for capital and financial reporting purposes. Furthermore, the risk appetite is set and monitored by the team and used in regular decision-making in the bank.
For our office in Berlin Mitte, we are looking for a
Data Manager – Credit Risk (m/f/d)
This role is within the Financial Risk Department and reports to the Lead of the Credit Risk Control Unit. The Data Manager is responsible for supporting the implementation of BCBS239 principles in line with the bank\’s data management framework. Within the Risk Team, we develop and maintain risk models used for capital and financial reporting purposes. Furthermore, the risk appetite is set and monitored by the team and used in regular decision-making in the bank.
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Data Manager - Credit Risk (m/f/d) Arbeitgeber: TieTalent
Kontaktperson:
TieTalent HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Manager - Credit Risk (m/f/d)
✨Tip Number 1
Familiarize yourself with BCBS239 principles and the bank's data management framework. Understanding these concepts will not only help you in the interview but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the financial risk sector, especially those who have experience with credit risk management. Engaging with them can provide insights and potentially valuable referrals.
✨Tip Number 3
Stay updated on the latest trends and regulations in credit risk management. This knowledge will allow you to speak confidently about current challenges and solutions during your discussions with us.
✨Tip Number 4
Prepare to discuss specific risk models you have worked with in the past. Being able to articulate your experience with capital and financial reporting will set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Manager - Credit Risk (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Manager - Credit Risk position. Understand the responsibilities, especially regarding BCBS239 principles and data management frameworks, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize any previous experience you have in financial risk management, data analysis, or related fields. Use specific examples that demonstrate your ability to support risk models and decision-making processes.
Showcase Technical Skills: Mention any technical skills relevant to the role, such as proficiency in data management tools, statistical software, or programming languages. This is crucial for a Data Manager position, so be specific about your expertise.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the requirements of the job. Discuss your motivation for applying and how you can contribute to the Financial Risk Department's goals.
Wie du dich auf ein Vorstellungsgespräch bei TieTalent vorbereitest
✨Understand BCBS239 Principles
Make sure you have a solid grasp of the BCBS239 principles and how they relate to data management. Be prepared to discuss how you would support their implementation in a banking context.
✨Familiarize Yourself with Risk Models
Review common risk models used for capital and financial reporting. Being able to discuss these models and your experience with them will show your expertise in the field.
✨Showcase Your Analytical Skills
Prepare examples that demonstrate your analytical skills, especially in relation to data management and risk assessment. Highlight any relevant projects or experiences where you successfully analyzed data to inform decision-making.
✨Prepare Questions About the Team
Think of insightful questions to ask about the Risk Team and its dynamics. This shows your interest in collaboration and understanding how you can contribute to the team's goals.
