Annuncio dedicato alle persone appartenenti alle categorie protette - legge 68/99.
DESCRIPTION/RESPONSIBILITIES:
Generali is a major player in the global insurance industry – a strategic and highly important sector for the growth, development and welfare of modern societies.
Over almost 200 years, we have built a multinational Group that is present in more than 60 countries, with 470 companies and nearly 80,000 employees. Our Group aims to become the standard bearer and industry leader in the European retail insurance market, building on our existing base of 50 million retail clients, out of an overall total of 72 million.
Generali Group is offering a position within the Stochastic Scenario Modelling team representing the Provider of economic stochastic scenarios for all the Business Units related to all the Generali Group market consistent/real world valuations for Technical Provision and Risk Capital Calculation. In particular the main goals of the position are:
• Improve calibration and generation process of stochastic scenarios for different purposes and valuations like Solvency II, Standard Formula, Economic Balance Sheet, New Business Value, Liability Adequacy Test, Swiss Solvency Test, Packaged Retail Investment and Insurance-based investments Products
• Process automation in order to guarantee the required quality of the stochastic scenarios in terms of risk neutrality and market consistency within each valuation
• Analyse ESG tool supporting overall developments and automation with quantitative testing and documentation
REQUIRED SKILLS:
The ideal candidate will meet the following requirements:
Must have
• Degree on Computer Engineering, Mathematics
• Knowledge of SQL/R/C#/Python with 2 years proved experience
• Ability to build relationship with many stakeholders
• Experience in algorithmic optimization
• Fluent in spoken and written English
Nice to Have
• Agile Methodologies and tools (TDD, XP, Kanban)
• Moody’s Analytics ESG software: ESG and Risk Integrity Proxy Generator integration
DESCRIPTION/RESPONSIBILITIES:
Generali is a major player in the global insurance industry – a strategic and highly important sector for the growth, development and welfare of modern societies.
Over almost 200 years, we have built a multinational Group that is present in more than 60 countries, with 470 companies and nearly 80,000 employees. Our Group aims to become the standard bearer and industry leader in the European retail insurance market, building on our existing base of 50 million retail clients, out of an overall total of 72 million.
Generali Group is offering a position within the Stochastic Scenario Modelling team representing the Provider of economic stochastic scenarios for all the Business Units related to all the Generali Group market consistent/real world valuations for Technical Provision and Risk Capital Calculation. In particular the main goals of the position are:
• Improve calibration and generation process of stochastic scenarios for different purposes and valuations like Solvency II, Standard Formula, Economic Balance Sheet, New Business Value, Liability Adequacy Test, Swiss Solvency Test, Packaged Retail Investment and Insurance-based investments Products
• Process automation in order to guarantee the required quality of the stochastic scenarios in terms of risk neutrality and market consistency within each valuation
• Analyse ESG tool supporting overall developments and automation with quantitative testing and documentation
REQUIRED SKILLS:
The ideal candidate will meet the following requirements:
Must have
• Degree on Computer Engineering, Mathematics
• Knowledge of SQL/R/C#/Python with 2 years proved experience
• Ability to build relationship with many stakeholders
• Experience in algorithmic optimization
• Fluent in spoken and written English
Nice to Have
• Agile Methodologies and tools (TDD, XP, Kanban)
• Moody’s Analytics ESG software: ESG and Risk Integrity Proxy Generator integration
Orario di lavoro: Tempo pieno
Il presente annuncio è rivolto ad entrambi i sessi, ai sensi della vigente normativa in tema di discriminazioni di genere
