Quantitative Strategist - FRMR - VP

About us

The Risk Methodology (RM) team, within Group Strategic Analytics (GSA), is instrumental in developing and maintaining Deutsche Bank Groups risk measurement methodologies, across diverse set of portfolios, thereby providing both businesses and risk managers with fit-for-purpose tools when it comes to allocating financial resources, managing risk appetite, and making well-informed credit decisions. In addition, the team ensures that all the models developed within the Bank are based on requirements relating to regulatory and economic capital calculations.

About the role

We are seeking experienced and motivated Credit Risk Modelling Strats, for our IRB Risk Methodology team, who will be responsible for the development and maintenance of the PD/LGD/CCF models for the Groups credit portfolios. In this role, you will engage extensively with a variety of stakeholders (e.g., Business Lending, Risk, Finance etc.) to build industry leading models which accurately reflect DBs risk profile and are compliant with various regulatory requirements. You will work in an environment that encourages open communication, focuses on your professional development, provides a mature feedback culture, and offers a wide range of options to balance the requirements of the workplace with their personal and family needs.

Your key responsibilities

• Model development and management: Development, implementation, and maintenance of methodologies for the credit risk parameters for retail and wholesale portfolios of the Deutsche Bank compliant with regulatory requirements to modelling of credit risk parameters (CRR, EBA GL on PD/LGD, etc.)
• Regulatory remediation: Resolution of regulatory and internal findings related to the methodology of credit risk parameters or related models.
• Stakeholder engagement: Active interaction with senior management and various internal stakeholders from Business, Credit Risk Management, Finance, Capital management etc.

Your skills and experience

• Educational background: Relevant university degree (Master or/and PhD) in a quantitative discipline (e.g. Mathematical Finance/Statistics/Econometrics) with focus on application of theoretical knowledge into practice.
• Risk management and modelling experience: Deep knowledge of the credit risk management and relevant regulations related to the modelling of the credit risk parameters (PD, LGD, CCF) as well as proven experience in internal modelling for more than 8 years.
• Programming capabilities: Strong analytical skills, proven ability to handle and optimize processing of large datasets, proficiency with advanced statistical techniques as well as hands-on experience with analytical packages (at least SAS and Python).
• Stakeholder management skills: Proven experience in delivering complex model development projects requiring cross-functional stakeholder syndication and in executing regulatory audits and other external reviews of internal models.
• Communication skills: Effective communication skills, the ability to share clear messages and explain complex ideas in an understandable way, excellent written and verbal skills in English, good written and verbal skills in German are preferable.