Data Scientist

DATA SCIENTIST

We are a global company specializing in credit bureau and business information, outsourcing and processing services, and credit solutions, and all digital solutions for business development and open banking. Over 5500 people in the world have chosen to work with us to create value and grow together. 

Be one of our sensational talent!

What are you going to do:

You will be involved in the development of advanced analytics projects, applying the latest methodologies leveraging the huge set of data provided by CRIF, understanding how to mix them together with open data and third party data.

Moreover, you will be asked to support the internal processes with the goal to deliver new assets and products, and support worldwide analytics teams.

We ask:

• An Academic Degree in Statistics, Mathematics, Physics, Economics or another quantitative/numerical field
• A work experience of at least 3 years related work experience with credit risk models (data scientist/consultant role);
• Strong skills in SAS or python using statistical modelling, analysis and procedure/libreries;
• Knowledge and experience using regression (linear/logistic), advanced modeling and machine learning techniques;
• Strong communication, writing & reporting skills in English;
• An investigative and critical, though positive constructive mindset;
• Availability to travels in Italy and abroad.

The following areas give you an extra advantage:

• Knowledge and experience on credit risk modeling for SME and Corporate segments (IRB or regulatory approach will be considered a plus)
• Understanding of application scorecards, early warning system or other credit risk related models
• Soft knowledge on ECB regulations 
• Knowledge of SQL,R and artificial intelligence is a plus;
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How we can empower your career together:

• A young and dynamic work environment where you learn from the best CRIF professionals
• Possibility of an exchange to any of the countries in the CRIF world
• We will continuously improve your skills with tailored classroom training and learning on the job
• Structured professional growth path

Work Location is Bologna