Senior Data Scientist/ Senior Risk Model AnalystCountry: DenmarkWe are looking for a Senior Data Scientist/ Senior Risk Model Analyst to join the Nordic Advanced Analytics and Risk Modeling Team.
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Location for this role can be any of the Nordic countries where we have presence.
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Given the value-generation of analytics-based decision making, the team has been growing fast and is engaged in taking analytics-based decision making to the next level.
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This is an excellent opportunity if you have the desire to apply analytics for ensuring profitable responsible lending.
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About the team The Advanced Analytics and Risk Modeling team is working together with Risk teams across the Nordics, ensuring that the model developments and related controls are following the highest of standards and implemented and monitored for all the products in each country under the same governance.
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The team is responsible for the following areas: Development of regulatory parameter models for calculation of capital (IRB PD, LGD, EAD) Development of scoring and rating models for underwriting, customer behaviour and other purposes (e.G., Fraud, Collections, etc.) Development of parameter models used for the calculation of expected credit losses (PD, LGD, EAD) Development of Stress Test Models Model management, planning and governance Artificial Intelligence, Machine Learning and related innovation initiatives with key focus on the area of credit risk Key Responsibilities Delivering state of the art Models in a timely manner Improved calibration, stability and separation/predictive power of models through model re-calibrations, adjustments and re-developments Challenger modelling deliveries on projects Monitoring and back-testing of assigned models Collaborating with colleagues across the organisation to better understand business and data and ensure proper communication around deliveries Ad-hoc reporting and analytical tasks Your Profile University degree in a numerate subject Curious, passionate, humble, analytical mindset Programming language skills (SAS, SQL, R, Python, etc.) Theoretical and applied knowledge of modelling approaches (Logistic Regression, CHAID/CART, Random Forest etc.) Ability to embrace change, improve and innovate Strong communication and presentation skills Motivated and assertive self-driver, willing to go the extra mile Highly organized, efficient and proactive attitude Team player Ability to provide technical guidance to junior team members Experience from working on Admission, Behaviour, Parameter Models is a preferred quality Extra Advantages Demonstrable work experience (- years), preferably in the area of credit risk or in related roles that involved processing and analysing large datasets Having work experience in the Nordics and knowledge of the Nordic market is an advantage This is a full-time position and a work permit is required in either of these Nordic countries.
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Interested Submit your application for the position as soon as possible and no later than April, .
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If you have any questions or want more information about this position, feel free to contact Lopamudra Ganguli, Risk Advanced Analytics Leader, e-mail: We perform background checks on all relevant candidates.
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For positions that require authorization and/or confirmation of suitability, a police certificate of good conduct and credit check must be presented.
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A background check is carried out with prior consent from the candidate.