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Quantitative Risk Analyst
4 tygodni temu
Job ID: 24308
We are looking for a quantitative analyst to our dynamic team in Collective Impairment Models. The job provides an exciting mix of challenges, where different areas of knowledge and skills shall be employed: working with big data, creating expected credit loss framework, develop credit risk models, analyzing economic behavior, understanding and abiding to regulatory constraints and further, to explain complex models to stakeholders on all levels across the Bank. You will join a highly professional and dedicated team with a large network across the bank and with excellent opportunities for personal and professional development.
At Nordea, we’re committed to being a partner our customers and society can count on. Compliance and integrity go hand in hand. Joining us means you’ll have an impact on how we do banking – today and tomorrow. So, bring your ideas, skills and unique background. With us, you’ll be in good company with plenty of opportunities to collaborate, grow and make your mark on something bigger.
About this opportunity
Welcome to the Collective Impairment Models team in Risk Models in Group Risk. Working with us, you will be part of one of the most important programs for the bank, which consists of upscaling Nordea’s models and frameworks for internal expected loss. You will cooperate closely with your colleagues across the bank and you will have great possibilities to develop your skills within credit risk area – a field which is in high focus in Nordea.
What you will be doing:
You will join an open and inspiring atmosphere in a team, where we value being good colleagues. Your work life balance is important to us. We offer flexible working hours, remote work, generous leaves (including parental), time off and time to take care of sick children.
The role is based in Helsinki, Finland, Warsaw, Poland or Stockholm, Sweden.
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:
Your experience and background:
An academic degree (MSc or PhD) within a quantitative field, including but not limited to statistics, mathematics, economics or engineering. Proficiency with programming languages and environments such as Python, SQL, Pyspark, Jupyterhub etc. Some experience working with data and modelsIf this sounds like you, get in touch
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