0Risk Analyst (m/f/d)
LBBW Landesbank Baden-Württemberg | Germany | 70xxx Stuttgart | Permanent position | Part time - flexible / Full time / Home office | Published since: 10.02.2026 on stepstone.de

Risk Analyst (m/f/d)

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


Reference number: 17108 - Location: Stuttgart - Company: LBBW - Functional area: Risk Control - Full time / part time: 100

LBBW is one of Germany's leading banks and is an innovative, international and sustainable company in the financial sector. We are a reliable bank and know what it means to change. Digitization, agility and efficiency are not only key words for us, but constant companions of our own development. For only those who walk themselves understand what it takes. We offer an environment that promotes personal and professional development. With more than 10,000 employees, we shape the future of the financial world - Together #NeuesSchaffen

LBBW's Risk Control division stands for modern risk management. We measure and evaluate risks from business based on state-of-the-art procedures. The focus is on forward-looking analyses and control impulses to expose our bank to more resilient risks. The Credit Risk Systems & Data group supports LBBW's credit risk systems. The application KRIS bundles all credit risk-relevant information from the Group, determines the relevant KPIs in the respective specialist functions and thus provides the basis for risk analyses, simulations and risk management of the Bank. To support the business initiatives of trading around Portfolio Finance, we are looking for a motivated, open minded person with interest and the ability to (further)develop credit risk-specific data modeling as the basis for calculating the credit value-at-risk. The focus of the activity will be on the conceptual structure of the data supply as well as on the integration of the Portfolio Finance products into the credit risk data balance with their specialist functions. We offer a powerful team, open work culture and challenging tasks.

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Your tasks • Your profile • What we offer

Reference number: 17108 - Location: Stuttgart - Company: LBBW - Functional area: Risk Control - Full time / part time: 100

LBBW is one of Germany's leading banks and is an innovative, international and sustainable company in the financial sector. We are a reliable bank and know what it means to change. Digitization, agility and efficiency are not only key words for us, but constant companions of our own development. For only those who walk themselves understand what it takes. We offer an environment that promotes personal and professional development. With more than 10,000 employees, we shape the future of the financial world - Together #NeuesSchaffen

LBBW's Risk Control division stands for modern risk management. We measure and evaluate risks from business based on state-of-the-art procedures. The focus is on forward-looking analyses and control impulses to expose our bank to more resilient risks. The Credit Risk Systems & Data group supports LBBW's credit risk systems. The application KRIS bundles all credit risk-relevant information from the Group, determines the relevant KPIs in the respective specialist functions and thus provides the basis for risk analyses, simulations and risk management of the Bank. To support the business initiatives of trading around Portfolio Finance, we are looking for a motivated, open minded person with interest and the ability to (further)develop credit risk-specific data modeling as the basis for calculating the credit value-at-risk. The focus of the activity will be on the conceptual structure of the data supply as well as on the integration of the Portfolio Finance products into the credit risk data balance with their specialist functions. We offer a powerful team, open work culture and challenging tasks.

  • Responsibility for further development of credit risk applications with focus on the granular mapping of structured finances

  • Design of processes and system sequences around the implementations in the GBS environment and the credit risk application KRIS

  • Participation in the production of the Group-wide credit risk data stock to identify control-relevant KPIs with a focus on portfolio-finance products

  • Creation of analyses and evaluations in the context of credit risk reporting.

  • Acquisition of technical (partial) project lines related to credit risks

  • Participation in audits by supervisor, auditor or audit, as well as in various AdHoc special topics of management with data reference.

  • Study of mathematics, statistics, data science, (economic) informatics or economics, with quantitative orientation *Expressed analytical competencies, experience in handling methods for structuring IT applications and a strong interest in designing a modern application architecture

  • Good programming and database identifiers (ideally experience with SAS/SQL programming), also with affinity for using AI in the data environment

  • Good knowledge of credit risk-related issues as well as credit risk measurement and control methods, ideally experience with credit risk portfolio models and/or structured credit products

  • Self-responsible, reliable operation in a dedicated team, paired with good communication capability

  • Joy in working with data as well as structuring processes and the willingness to participate and promote technical topics in a dynamic environment

Modern talent management for career development Active promotion of a good reconciliation of work and private life (including flexible working hours, sabbaticals and the possibility to work in part on a mobile or home office) Attractive occupational pensions Comprehensive health management (e.g. cooperation with gyms, occupational medical service, preventive examinations) Interesting leasing possibilities, e.g. Job-Rad, Tablet, Smartphone Great lunch offers (bio, vegetarian or vegan) Several daycare centres

Location

ava LBBW Landesbank Baden-Württemberg
70173  Stuttgart
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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