Risk Methodology Specialist

The **Risk **division has the fundamental responsibility to protect the Bank. With group-wide responsibility for the management and control of credit, market, operational and reputational risks, we have a unique vantage point, which allows us a holistic view of our businesses and our clients. Nearly 4,000 employees work together to achieve our ambition to be an industry-leading risk management organization.

Our **Risk Methodology **department develops Deutsche Bank’s risk valuation methodologies and provides risk managers with a variety of quantitative tools, used e.g. to allocate capital, manage risk appetite and make well-judged credit decisions. Within Risk Methodology, the **Group **PPNR Modelling **team develops quantitative models for forecasting Pre-Provision Net Revenues (PPNR) for Planning and Stress Testing purposes. For each of DB’s business units, revenue models are designed and developed in close cooperation with the Business and calibrated on internal and/or external data. As a member of the Group PPNR Modelling team, you will interact frequently with stakeholders across the world from Risk, Finance and the Business.

You will work in an international and diverse environment that encourages an open communication, provides a mature feedback culture and offers employees a wide range of options to balance the requirements of the workplace with their personal and family needs.

**Your Key Responsibilities**:

- Development of PPNR projection models used for Capital Planning and Stress Testing (internal and external)
- Maintenance of existing models: performance monitoring, recalibration, remediation of internal and external findings
- Documentation of new models and model changes, including e.g. detailed descriptions of assumptions, limitations, sensitivity and benchmarking analyses
- Model implementation and implementation testing in collaboration with the IT department
- Presentation of model projections to key stakeholders from Risk, Finance and business lines

**Your Skills and Experience**:

- Relevant university degree (Master or PhD) in a quantitative discipline (e.g. physics, mathematics, statistics, econometrics, quantitative finance) and relevant work experience (i.e. quantitative modelling, statistical data analysis, coding)
- Excellent analytical skills and ability to solve problems efficiently and proactively
- Ability to work independently as well as with team members from different backgrounds
- Hands-on experience with Python and R
- Process and project management skills, with the ability to execute against tight deadlines and remain agile to evolving requirements
- Strong written and oral communication and presentation skills

**What we will offer you**:
Please note that this may vary slightly from location to location.

In case of any recruitment related questions, please get in touch with Andreas Vogel.

Contact: Andreas Vogel (+49(151)2772-7513)

Unsere Werte bestimmen das Arbeitsumfeld, welches wir schaffen möchten - vielfältig, wertschätzend und offen für verschiedene Meinungen. Nur eine Unternehmenskultur, die eine Vielzahl von Perspektiven, sowie kulturellen und gesellschaftlichen Hintergründen vereint, fördert Innovation. Wir setzten auf vielfältige Teams, in welchen die Menschen ihr volles Potential entfalten können - denn das Zusammenführen verschiedener Talente und Ideen spielt eine entscheidende Rolle für den geschäftlichen Erfolg der Deutschen Bank.

Unsere Unternehmenskultur setzt hohe ethische Standards und fördert ein gutes Miteinander. Unabhängig von kulturellem Hintergrund, Nationalität, ethnischer Zugehörigkeit, geschlechtlicher und sexueller Identität, körperlichen Fähigkeiten, Religion und Generation freuen wir uns über Bewerbungen talentierter Menschen.
Sprechen Sie uns an: Wir bieten flexible Arbeitszeitmodelle und weitere Zusatzleistungen, um Sie in Ihrem Berufsleben zu unterstützen.

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