0Project Leader – Credit Risk Modelling / PD-LGD (m/f/d)
S Rating und Risikosysteme GmbH | Germany | 10xxx, 14xxx, 13xxx, 12xxx Berlin | Permanent position | Full time / Home office | Published since: 07.10.2026 on stepstone.de

Project Leader – Credit Risk Modelling / PD-LGD (m/f/d)

Branch: Insurance and financial ser... Branch: Insurance and financial services


The Sparkassen Rating und Risksysteme (SR) is the central service provider for risk management procedures in the Sparkassen financial group. We support institutes with standard solutions in the areas of risk measurement and control, regulatory banking control and data analytics solutions. Together with our partners, we offer the institutes, from the conception of procedures, their further development, IT implementation and implementation support, central and standardized solutions. Project Manager (m/w/d) – Credit Risk Modelling / PD-LGD from now on we are looking for rating

Your tasks • Your profile • What we offer

You take over the overall responsibility for cross-departmental, strategic projects in the area of rating procedures in a regulatory environment and successfully complete them in terms of target achievement, scope, time, budget, resources and quality. You plan and tax Your projects along relevant milestones, identify risks and dependencies early on, develop appropriate countermeasures and actively tax changes. You design technical requirements, bring together different interests to viable solutions and coordinate cooperation between departments, IT and external partners. You prepare project status, risks and decision-making needs to be addressed, represent your projects in committees and management and make decisions successful. You conduct interdisciplinary project teams professionally, create transparency and ensure binding and targeted cooperation between all project participants. You continuously develop our project and our control tools and use digital tools as well as AI-based methods in the project. In doing so, you shape the cooperation of people and AI (agents) responsibly and practically.

You have a successfully completed university degree, a dual study or a comparable qualification. You have several years of experience in managing challenging projects; ideally in the context of a credit institution, advice or insurance. You bring well-founded experience in project management and manage complex projects in a challenging stakeholder and committee environment. You work structured and solution-oriented, set priorities and keep track of complex project situations. You have first to well-founded practical experience with AI-based tools or AI (agents) in project work or a strong interest in using them effectively, quality-proof and with respect to data protection, transparency and regulatory requirements. Ideally, you have a project management certification (e.g. IPMA, PRINCE2 or PMI) as well as very good German knowledge in word and writing (C1 level).

An unlimited activity in a highly experienced working environment with demanding tasks and an attractive compensation package 30 days holiday + 2 bank holidays and additional special holidays for special occasions Occupational pensions and benefits Individual internal | external training via our Academy Flexible working hours with sliding time and option for mobile work for a real work-life balance Operational health management Payment to the job ticket and food vouchers Service bike leasing (JobRad) as an additional mobility offer Free current account management incl. Visa Card Gold at the Berliner Sparkasse Interne Events: Meet-Ups, Afterworks, Summer and Christmas Festivals Central and modern workplace in the heart and over the roofs of Berlin

Location

ava S Rating und Risikosysteme GmbH
10117  Berlin
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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