Yhtiö

Nordea SwedenKatso lisää

addressOsoiteHelsinki, Uusimaa
KategoriaAnalyytikko

Työnkuvaus

Do you enjoy working with data analysis? Do you like solving problems and find out new and innovative solutions? Do you understand the principles of banking and are you able to apply this knowledge in your daily work?
We are looking for a Quantitative Risk Analyst to join Credit Risk Data Analytics team that is recognised for its professionalism, competence and capabilities. We have an ambitious development plan for the Risk models and together with our colleagues in Nordea we'll be part of creating the future of banking.
At Nordea, we use internal models for calculating regulatory capital and these models are developed and maintained by Risk Models. This includes the data asset that collect and aggregate data from most of Nordea's data landscape. Data analytics is in the core of statistical modelling to create an understanding of the data that's used for modelling.
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 Credit Risk Data Analytics team, a part of Risk Models organisation.
We add value to Nordea and our customers by improving Nordea data quality, helping visualising and create the understanding of our data so modelling teams can build great models, finance can calculate profitability and the bank advisors can make credit assessments.
As the Quantitative Risk Analyst, you play a valuable role in performing technical data analysis in UDM, which is a database built on Hadoop. Your role as a Quantitative Analyst is also to coordinate data related activities and ensure proper communication within the team and across other Risk model areas.
What you'll be doing:
  • Different types of quantitative data analysis such as:
    • Data reconciliation
    • Root-cause analysis for data quality issues
    • Data extraction based on desired content
    • Refinement of business requirements
  • Take responsibility for data related deliveries
  • Communicate status to relevant stakeholders
  • Performing data governance tasks as defined in Data Governance Recipe
  • Preparing reports and other documentation used for both senior management and external reporting
  • On occasions you will act as a bridge between business and IT, and ensure correct understanding between both parties

You'll join an international team with variety of backgrounds and skills. We believe that strong drive and passion for change are fundamental for delivering on our commitments. Bring your background and skills to our team, and you will have plenty of opportunities to collaborate, grow and develop. The role can be based in Denmark, Finland, Sweden or Poland.
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 an adaptability to thrive in fast-paced and dynamic environment
  • Are structured and able to coordinate several deliveries simultaneously
  • Are self-driven and able to work independently but also enjoy collaboration with others
  • Have strong analytical skills and keen attention to detail with the ability to analyse complex data and processes to derive meaningful insights
  • Have good communication and presentations skills, are not afraid to speak up and can effectively convey business requirements to IT teams and facilitate collaboration between stakeholders
  • Are curious and proactive, focus on solutions rather than problems and share our enthusiasm for developing and learning and constantly improving your skills and competences

Your experience and background:
  • An interest in finance and technology
  • Experience working with data analysis in a database structure
  • Understanding of the Credit Risk area, particularly working previously with Credit Risk Data would be an advantage but is not a prerequisite
  • Knowledge of SQL, SAS, Python or similar
  • Experience with Big Data would be an asset
  • Master's degree in finance, economics, engineering, physics, mathematics or you have a great reason for not having one

If this sounds like you, get in touch!
Next steps
Submit your application no later than 14/04/2024 . For more information, you're welcome to contact Christopher Uhre Gorrissen.
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.
Please be aware that any applications or CVs coming through email or direct messages will not be accepted or considered.
Only for candidates in Sweden: For union information, please contact finansforbundet@nordea.se or SACONordea@nordea.com.
Only for candidates in Poland: Please include permit for processing personal data in CV as following:
In accordance with art. 6 (1) a and b. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) hereinafter 'GDPR'. I agree to have: my personal data, education and employment history proceeded for the purposes of current and future recruitment processes in Nordea Bank Abp.
The administrator of your personal data is: Nordea Bank Abp operating in Poland through its Branch, address: Aleja Edwarda Rydza Śmiglego 20, 93-281 Łodź. Your personal data will be processed for the recruitment processes in Nordea Bank Abp. You have a right to access your personal data, right to rectify and right to delete. Disclosing the personal data in the scope specified by the provisions of Polish Labour Code from 26 June 1974 and executive acts are mandatory. Providing personal data is necessary to conduct the recruitment processes. The request for the deletion of your personal data means resignation from further participation in recruitment processes and causes the immediate removal of your application. Detailed information concerning processing of your personal data can be found at: https://www.nordea.com/en/doc/nordea-privacy-policy-for-applicants.pdf.
We reserve the right to reply only to selected applications.
Refer code: 234555. Nordea Sweden - Edellisenä päivänä - 2024-03-28 08:38

Nordea Sweden

Helsinki, Uusimaa

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