Credit Risk Modeller
# Credit Risk Modeller **BrandBastion** · Germany · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Credit-Risk-Modeling]` `[Quantitative-Analyst]` `[Risk-Analyst]` `[Financial-Risk-Analyst]` `[Credit-Analyst]` `[Credit-Risk-Modelling]` `[Risk-Modeler]` `[Credit-Risk-Analyst]` `[Credit-Risk-Engineer]` `[Credit-Modeling]` `[Data-Science]` --- ### About the Role Job Title: Credit Risk Modeller (Quantitative Analyst) Location: Europe (Remote) Employment Type: Full-Time Client: A leading global consulting firm About the Role Our client, a prestigious global consulting firm, is seeking a highly skilled and experienced Credit Risk Modeller with strong quantitative expertise and a deep understanding of credit risk models. This is an exciting opportunity to join a dynamic team and work on high-impact projects, delivering innovative risk management solutions to a diverse range of clients across industries. As a specialist recruitment agency, we are partnering with this esteemed firm to identify a talented individual who can contribute to the development and implementation of advanced credit risk models, ensuring compliance with regulatory standards and driving strategic decision-making for their clients. Key Responsibilities - Develop, validate, and implement credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). - Conduct quantitative analysis and statistical modelling to assess credit risk and support client decision-making processes. - Ensure compliance with regulatory requirements (e.g., Basel III, IFRS 9) and industry best practices in credit risk modelling. - Collaborate with cross-functional teams to design and deliver tailored risk management solutions for clients. - Perform model validation, stress testing, and scenario analysis to evaluate model performance and robustness. - Prepare detailed technical documentation and reports for internal and client use. - Stay updated on industry trends, regulatory changes, and advancements in credit risk modelling techniques. - Provide expert advice and guidance to clients on credit risk management strategies and model implementation. Qualifications and Experience - Advanced degree (Masters or PhD) in a quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. - Proven experience (3+ years) in credit risk modelling within a consulting, banking, or financial services environment. - Strong knowledge of credit risk models (PD, LGD, EAD) and regulatory frameworks (Basel III, IFRS 9). - Proficiency in programming languages such as Python, R, SAS, or MATLAB for quantitative analysis and model development. - Experience with data analysis, statistical modelling, and machine learning techniques. - Excellent problem-solving skills and the ability to translate complex concepts into actionable insights. - Strong communication and presentation skills, with the ability to engage effectively with clients and stakeholders. - Professional certifications such as FRM, CFA, or PRM are a plus. Whats on Offer - Competitive salary and benefits package. - Opportunity to work with a globally recognized consulting firm on high-profile projects. - Collaborative and innovative work environment. - Career growth and professional development opportunities. How to Apply If you are a motivated and experienced Credit Risk Modeller with a passion for quantitative analysis and risk management, we would love to hear from you. Please submit your CV and a cover letter detailing your relevant experience and achievements. Originally posted on Himalayas
- Credit-Risk-Modeling
- Quantitative-Analyst
- Risk-Analyst
- Financial-Risk-Analyst
- Credit-Analyst
- Credit-Risk-Modelling
- Risk-Modeler
- Credit-Risk-Analyst
- Credit-Risk-Engineer
- Credit-Modeling
- Data-Science
Наблюдалась 2026-10-12, впервые 2026-10-12, источник — Himalayas (JSON API).