Data Scientist in Credit Risk

Are you an expert in quantitative credit risk modelling with a focus on big data analysis and machine learning techniques?
We are looking for a team member to develop and implement advanced credit risk measures techniques for the Consumer Lending portfolio.
You supporting our Risk Management team to apply machine learning techniques for creating advanced credit decision-making models; identifying and defining product-specific risk characteristics; providing statistical analysis in different areas, including marketing and collection.

• You have Master's in a quantitative discipline
• At least 2 years’ experience in big data and machine learning techniques
• Experience with SQL database tools
• Excellent coding skills preferably in Python and/or expertise in
TensorFlow
• Skilled in Credit Scoring, Data Analysis, Risk Analysis, Modelling,
Econometrics
• Sound knowledge of statistical and econometric methods and their
application in credit risk
• Very good communication skills in Estonian and English

• Challenging and varied job
• Development opportunities in fast growing company
• Competitive remuneration package
• Supportive team