Job description


  • Entry level
  • No Education
  • Salary to negotiate


Support and lead analytical staff in developing robust analytical solutions for diverse clients, primarily in the financial sector – this includes the development of statistical models and ad hoc data analysis
Responsible for understanding the requirements of projects and communicating this to analytical staff
Ensure that project deliverables are accurate and meet project objectives
Question results through applied intelligence and interpret into conclusions and recommendations for clients
Participation in pre-sales and sales meetings with clients to present the results of her/his analytics works
Plan, organize and complete project work in order to meet team commitments within agreed timescales
Role is based in Rome.
Degree in a numerate/mathematics-related subject.
Strong technical and analysis skills
Passion for devising practical solutions to challenging problems.
Strong knowledge of statistics and how statistical methodologies are employed in scorecard development.
Established track record (at least three to four years) of delivering complex analytical projects.
Experience in the implementation of scorecards both in terms of software and strategy.
Fluent in English – both written and spoken.
The following abilities and skills will be considered an advantage:
Previous experience in team/project management.
Working knowledge of credit risk modelling, advanced analytics modelling and/or regulatory modelling such as Basel, IFRS 9 and how it is applied to the FS Industry
Other language skills in addition to English

About the company

Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations find, develop and manage customer relationships to make their businesses more profitable.

Specialties: Data, Credit, Data Management, Risk Management, Revenue Cycle Management, Healthcare IT, Healthcare Finance, Automotive Data.

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