(Senior) Quantitative Risk Analyst

2 miesięcy temu

Warsaw, Polska Nordea Bank Pełny etat

Job ID: 24684 


Would you like to help Nordea’s senior management understand the development in credit risk and implications for our loan losses? We are now looking for a Quantitative Risk Analyst - potentially at a senior grade depending on your experience - to analyse data and develop controls to support Nordea’s review, and decision processes regarding loan losses across its EUR300+bn lending portfolio.


At Nordea, we see that the world is changing fast – and we want to be one step ahead of the curve. That’s why we’re deeply committed to providing the financial solutions of tomorrow to our customers. We’re creating an agile environment where we experiment and grow together – and we need your ideas and unique background. With us, you’ll be in good company with a chance to make your mark on something bigger. 

About this opportunity

Welcome to the Credit Risk Portfolio Control and Simulation team. We add value by analysing, monitoring and controlling core parts of the credit process such as credit loan losses provisioning, Credit rating and scoring process for Nordea’s customers, and Credit Risk Stress Testing and forecasting. We ensure transparency through our analysis, and the right actions through our advice. In Provisioning Control our activities and advice are central to ensuring Nordea’s appropriate provisioning and loan loss recognition – a key metric for the Bank and its stakeholders.

As the Quantitative Risk Analyst, you’ll learn the important professional skills and play a valuable role in the analysis and controls that we perform and impact that we have. In tight collaboration with various stakeholders in Group functions and the Business Areas across, our work affect all our lending portfolios across Business Areas and legal entities within the Group.


You’ll be working in a high interest area, where focus from senior management, external auditors and regulators give guidance to our priorities and you will have the opportunity to collaborate with senior stakeholders and key decision makers within Nordea.

What you’ll be doing:

Execute quarterly activities in the Credit Provisioning related to quantitative analysis, controlling, and explaining Collective and Individual Provisioning and net loan losses Execute and develop our data model and sourcing and processing of data to enable the team’s activities across analysis, controls and advisory Support the Bank’s quarterly review process of provisioning and net loan losses, supporting the engagement with Business Area management and Heads of Credit Represent the team in discussions with stakeholders in your responsible tasks Contribute to developing effective working methods and automation of controls and analysis, leveraging your quantitative training and skill set – in particular with respect to automated data flows and analysis

You’ll join a team at the core of risk management and profitability for the entire Group – every expert in the team is vital for our success and we coach and support each other to achieve our targets. The role is based in Helsinki or Warsaw.

Who you are

Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.

To succeed in this role, we believe that you:

Have experience from quantitative analysis, and an analytical problem solving toolbox from your education and or professional experiences Have a good balance of collaboration and independence in driving initiatives Can work across several tasks over a period, and reprioritise time allocation between your responsibilities – maintaining focus on finding solutions also in the most challenging situations Like to work in a dynamic environment where adaptation and the ability to recalibrate prioritisation is a strength

Your experience and background: 

Master's degree from relevant field (economics, finance, engineering, or other suitable) Good track record in delivering initiatives or projects Interest or knowledge in financial services or credit risk area is an advantage Strong collaboration skills, and experience from stakeholder management is an advantage Strong skills in coding languages is an advantage e.g. Python, SQL, SAS, R, or other languages Fluent in English both written and spoken


If this sounds like you, get in touch

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