Alm Analyst - Non Life
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.
The Chief Investment Officer function is accountable for the investment strategy and performance across all asset classes of approximately € 400bl of general account assets belonging to Generali Group insurance companies located in 60 different countries.
The unit will consist of 6 resources including the head, plus resources based in Local Countries reporting to the different Local Chief Investment Officers, reporting in solid to the Group Chief Investment Officer.
Within the Asset & Liability Management and SAA team we are looking for a ALM Analyst - NON LIFE.
Key responsabilities of the role will include:
- Coordinate the ALM & SAA process for Non Life portfolios, interacting with the ALM & SAA teams of the Countries and Regions
- Perform analytical valuations and make proposals on investment strategies for insurance portfolios using ALM models
- Develop Strategic Asset Allocation (SAA) for Non Life portfolios based on robust asset-liability analysis
- Preparation and presentation of SAA proposals to Senior Management
- Interact with Finance, Actuarial and Risk functions on ALM/SAA topics
The P&C ALM unit is part of the Asset & Liability Management and SAA team, within the Group Chief Investment Officer function, and works in conjunction with the sub teams Solutions and Investment Management for AG holding.
Additional activities in the team are:
- Financial scenarios generation: deliver both deterministic (through interaction with Research) and stochastic scenarios for the SAA process to Group and Local ALMSAA teams
- Perform analytical valuations and develop, in coordination with the Group Asset Managers, innovative investment strategies and solutions, with a focus on capital optimization, portfolio diversification, investment results maximization for P&C portfolios and where applicable to Life portfolios
**Must have
- Master degree in finance, actuarial science, statistics or similar quantitative field
- From 2 to 5 years' working experience, preferably with a financial, capital/risk management, insurance or actuarial background of insurance companies or consulting firms
- Knowledge and experience of:
- Financial modeling and capital markets' instruments, including derivatives
- Solvency II framework
- Accounting and insurance regulation
- P&C actuarial models
- Excellent attitude for analytical analysis and creativity
- Proactive approach, and strong collaboration skills and teaming ability
- Good presentation skills
**Nice to have
- CFA, PhD or Actuarial Certification
- Coding skills in one or more of the following: R, Matlab, Prophet, Python, Visual Basic, C/C++
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