Quantitative Risk Analyst (Credit Risk)

Nordea Bank Abp, filial i Sverige Stockholm, Stockholms län, Sverige Publicerat 10 november 2026
full_timehybridmid
Job ID: 6765 Would you like to take a central role in shaping Nordea’s credit risk modelling landscape and add real business value for Nordea? Then this opportunity is for you. We are looking for a Quantitative Risk Analyst to join our IRB modelling functions and drive the design, enhancement, and implementation of credit risk models across the organisation. The role combines advanced modelling, practical implementation of the models in our IT infrastructure and a sound understanding of banking. You need to enjoy working with large datasets, solve problems and find new and innovative solutions. About our team Meet the Risk Models Methodology & IRB models team. Our role is to develop and maintain models under IRB, and support other functions in the value chain. We strive to develop models that help business in their decisions and comply with relevant regulatory environment across multiple countries. Our team adds value by accurately estimating the IRB risk parameters for Nordea’s customers. As a Quantitative Risk Analyst you will play a valuable role in developing, maintaining and using models which accurately estimate Nordea customers’ credit risk and anchor these firmly in the business lines. Given the nature of our data and regulatory requirements, we use advanced modelling techniques and big data technology. In addition to using leading techniques for modelling and data, the team’s role is general risk governance within credit risk modelling and methodology, including management of models, model implementation, data quality, documentation and model use. Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us. Main responsibilities in this role: Develop technical tools that can be used for model development and other analysis, using tools such as Python. Work on a subset of model lifecycle related activities like: data pipeline, data quality work, development, documentation, implementation, maintenance, monitoring, requirement setting, and user acceptance tests within credit and impairment models. Contribute to methodological standards, modelling tools, coding practices, and continuous improvement of the modelling framework. Drive projects within the IRB Models, and manage stakeholder relationships in the Risk, IT and Business organisations. Present & justify analyses, results, and their implications to stakeholders, either through periodic activities or through ad-hoc requests. Provide technical guidance, review the work of other modellers, and support setting modelling strategy and priorities. Stay informed on regulatory developments and industry practices. You’ll join an international team with a variety of backgrounds and skills. We work closely with other teams across the bank which provides you with excellent opportunities for personal and professional development. Our working language is English. The role is based in Stockholm, Helsinki, Oslo or Warsaw. Flexible working conditions with respect to working from premises / from home apply according to the Nordea rules of working at least 60% from the office. Who you are This is the right role for you if you are: Curious, enjoy learning and are excited about brining your ideas to the table.Take ownership of the task but enjoy collaboration with others. Confident in advanced quantitative modelling and eager to challenge ideas constructively. Communicate complex statistical or methodological concepts clearly to both technical and non-technical audiences. Enjoy working with large datasets and navigate well in tools used to analyse them. Work well in a dynamic environment with varying workload. Are keen to find solutions and not only raise concerns. Able to think big picture but know that the devil is in the details. You are good at judging which details require extra attention. Committed to deliver high-quality work. Interested in coding and development of technical tools. Your background and skills include: A Master’s or PhD in a quantitative field, for instance economics, engineering, business, mathematics, science, statistics, finance, or similar. Interest or hands-on experience working with data & modelling and conducting complex data analysis in financial services. revious experience with large volumes of data and programming. We use mainly Python / SQL. Interest in understanding of regulatory requirements related to IRB, IFRS9 and stress testing and different modelling techniques. Seniority [Assistant/Regular/Senior/Lead] of the role and remuneration will depend on the level of the candidate’s experience in the relevant fields. What we offer People come here when they want to get somewhere. For some, it’s to take their career to the next level. For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward. A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment. Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility. Diversity and inclusion are a natural part of our daily work. We know that an inclusive workplace is a sustainable one. We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together. If this sounds like you, get in touch! We enable dreams and aspirations for a greater good. We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates. We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We lead change. We are responsible and aware of the imp

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