Senior Credit Risk Modeller

20 ott - Romano di Lombardia
Prometeia

Questa posizione è in Prometeia

Se pensa di essere il profilo ideale per la seguente possibilità, si candidi dopo aver letto la descrizione completa.
Il processo di selezione sarà interamente gestito Prometeia.

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Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills? Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world. Among the European leaders in Enterprise Risk Management and Wealth & Asset Management solutions, Prometeia is looking for resources to be included in work teams specialized in Enterprise Risk Management and operating within consulting projects for medium and large-sized financial intermediaries.

MAIN TASKS

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- Support project managers in managing the development and implementation of rating, LGD, EAD, Stress Test and portfolio models (Var Credit Risk).

EDUCATION AND EXPERIENCE

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- Master's degree/Phd in Mathematics, Physics,



business/financial or engineering disciplines with excellent grades, together with strong quantitative knowledge
- Knowledge of Advanced Analytics and Machine Learning methodologies is appreciated
- Knowledge of MS OFFICE applications and econometric/mathematical software (Python, SAS, Stata, SPSS) is required
- Fluency in English. The knowledge a second foreign language is a plus
- At least 3-4 years of experience required

SOFT SKILLS

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- Excellent diagnostic, problem-solving, communication, work organization, time management, and teamwork skills

LOCATION
Bologna, Milan, Rome

WHAT WE OFFER

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- COMPENSATION, WELFARE & BENEFIT Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable co

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