Financial Risk Models – Data Scientist

15 ago - Bologna
Prometeia

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 opportunities for growth and training within a Group of over 1,000 professionals serving more than 500 clients across 20 countries worldwide.
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 Financial Risk Management Analysis and operating within consulting projects for medium and large-sized financial intermediaries.
MAIN TASKS
Support project managers in the development and implementation of statistical and machine learning models for financial risks in the banking industry; model development involves the analysis and management of large datasets related to banking products such as checking accounts, loans, term deposits, etc.
EDUCATION AND EXPERIENCE
- Master's degree with excellent grades in statistics, data science, mathematics or physics with strong knowledge of statistics.




- Proficiency in Python is a requisite. Familiarity with other programming languages is desirable. Knowledge of statistical software or other data processing tools and libraries, in particular PySpark, R, and SQL, is also preferred.

SOFT SKILLS
- Excellent analytical skills
- Problem-solving attitude
- Availability for travel within Italy and abroad
- Ability to organize one's work, manage time effectively, and a team-oriented approach
- Advanced knowledge of the English language and proficiency in a second foreign language is appreciated

LOCATION
Bologna
WHAT WE OFFER
COMPENSATION, WELFARE & VANTAGGI
Our history and our future are built on the value of our people. Prometeia’s biggest investment is in our people, and it concerns every aspect of professional life. We call it “Total Compensation,” and it is made of three elements: Compensation, consisting of a fixed and a variable component, a

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