Data Scientist (Risk Modeller)

Join us and get a once-in-a-lifetime opportunity to literally build a local banking champion!

You as the Data Scientist (Risk Modeller) will join the Credit Risk Modelling Unit within Risk Analytics Department which is responsible for the overall lifecycle and methodological update covering wide range of Credit Risk Models within internal rating system.

Risk Analytics Department specializes in modelling areas covering Credit Risk models, IFRS9/provisioning models, ESG models as well as various Data Science and advanced analytics solutions. Here You will be able to grow and learn from best professionals in Baltics.

How You Will Make an Impact:

• Lead specific pieces of the modelling effort: review data & attributes, assess modelling options, defend model choices with stakeholders
• Develop and maintain Credit Risk models for internal ratings based approach
• Lead model monitoring framework development, integration and automation covering all Credit Risk models
• Maintain monitoring solution R/Python code base and lead work on periodic monitoring reports
• Identify promising data sources and convert data into meaningful credit insights
• Communicate detailed technical information in a simple and clear manner to business colleagues

• 2+ years of previous experience working in Financial/ Credit Risk area in banking, financial institution (FinTech) or in other institution using internal ratings based approach (scoring)
• Knowledge of a variety of modelling techniques such as multivariate regressions and models with categorical response variables
• Excellent analytical (including statistical techniques experience), communication, presentation, organizational and problem-solving skills
• Strong MS Office (Excel, PowerPoint, Word, etc.) as well as strong R/Python coding, and SQL skills
• Higher degree in Math, Economics, Finance, Business Management or similar fields
• Fluent English is required in spoken and written communication due to working on the Pan-Baltic level

Nice to have

• Good understanding of model risk management and governance of models as well as knowledge of Financial/ Credit Risk regulations (Basel, EBA, IFRS9) will be considered as an advantage
• Good understanding of end-to-end credit life cycle for retail and wholesale portfolios also would be considered as an advantage

• Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (in total 90 days per year)
• International teams. Teams that go outside Pan-Baltic borders, where people value challenging work together with good humor and having fun
• Culture. You’ll be joining a team where things move fast, ideas flow freely, and change is part of the everyday. It’s a dynamic environment that keeps you learning, growing, and never bored
• More vacation. Additional weeks of vacation are available to all employees who have been in the company for 1 year or more
• Volunteer time off. We care about giving back to society, therefore, you will get additional days off for volunteering purposes
• Paid leave. We are proud of our employees who are participating in military training. Therefore, Luminor offers 30 fully paid calendar days for military training every year
• Health benefits. A competitive benefits package in addition to your salary that includes health insurance after the first 3 months pass in all three Baltic states, as well as Health days in case of your absence due to sickness without a doctor's note needed
• Wellbeing. Access to tools and resources that help you feel good and be productive at work and in life
• Professional growth. Internal and external training programs, LinkedIn learning, workshops, conferences, online training, etc
• Special Offer for Luminor products & services. Enjoy special offers & pricing for products and services provided by Luminor
• Gross salary. 3200 - 4800 EUR/month, which is to be determined depending on your level of experience and competencies. For very experienced candidates we would be flexible to consider Gross salary up to 5300 EUR/month according to level of experience.