# Counterparty Credit Risk Model Developer [Senior/Lead Quantitative Risk Analyst] at Nordea

Nordea is hiring a Counterparty Credit Risk Model Developer [Senior/Lead Quantitative Risk Analyst] in Stockholm, Sweden. Level rates it Little AI ●○○○; you can [apply on Nordea](https://jobsbylevel.com/go/29c48cd0-877c-4e7c-a1d8-c72c7d8f0b0b?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. Stockholm, 111 46.

## Details

- Company: [Nordea](https://jobsbylevel.com/companies/nordea)
- AI level: AI Level 1 (score 0 out of 100)
- Location: Stockholm, 111 46
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/29c48cd0-877c-4e7c-a1d8-c72c7d8f0b0b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=counterparty-credit-risk-model-developer-senior-lead-quantitative-risk-analyst-at-nordea-3304f9

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/counterparty-credit-risk-model-developer-senior-lead-quantitative-risk-analyst-at-nordea-3304f9

## Description

Job ID: 7252 Counterparty Credit Risk Model Developer [Senior/Lead Quantitative Risk Analyst] (permanent position) We are looking for a quantitative model developer with an interest in derivatives, risk modelling and practical implementation. About our team Meet the Counterparty Credit Risk Models team. The role combines mathematical finance, Python development and an understanding of trading and regulatory requirements. We welcome candidates with experience in counterparty credit risk or XVA, as well as those with relevant experience in derivatives pricing, quantitative risk or derivative trading. Our team develops and maintains Nordea’s counterparty credit risk exposure models, including the Internal Model Method (IMM). Our work covers the full model lifecycle: interpreting requirements, developing methodologies, sourcing and analysing data, implementing models and supporting validation and regulatory approval. You will work with experienced quantitative colleagues in a friendly and supportive team and collaborate with trading, technology, model validation and risk management. We share expertise across projects, while giving each team member responsibility for taking their work forward. 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. What you’ll be doing Main responsibilities in this role: Develop and improve counterparty credit risk models, combining sound methodology with practical implementation. Investigate derivatives pricing and exposure behaviour, and assess the implications of modelling choices for trading portfolios and risk measures. Source, reconcile and analyse trade and market data from front-office and other internal systems. Develop production implementations in Python, alongside tools for impact assessment, testing and ongoing model monitoring. Interpret relevant regulatory requirements and translate them into proportionate modelling and implementation choices. Write clear model documentation, analyses and decision memos for technical reviewers, senior stakeholders and regulatory submissions. Take model developments through validation and internal approval processes, explaining your choices and addressing challenge constructively. Who you are This is the right role for you if: You take ownership of your work and can move a project forward, including when requirements, data or implementation options are not straightforward. You work independently and you are able to collaborate, share and draw on the expertise of your colleagues. You combine analytical depth with practical judgement. You can explain complex topics clearly, make well-supported recommendations and discuss trade-offs with stakeholders who bring different perspectives and priorities. Your background and skills include: A degree in a relevant quantitative discipline, such as mathematical finance, mathematics, statistics, physics, engineering or econometrics. Relevant experience in a quantitative role involving derivatives, pricing or financial risk. A sound understanding of derivatives pricing and risk. Practical programming experience in Python and an interest in developing reliable production code. The ability to write clear, structured technical reports and memos, and communicate effectively in English. Experience with counterparty credit risk, IMM, CVA or XVA is particularly relevant. Familiarity with banking regulation and model validation or approval processes is also an advantage. You do not need to have worked with every aspect of the role. We value a strong foundation in derivatives and quantitative development, together with the ability and motivation to build broader expertise. 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

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