Quantitative Asset Allocation Specialist

07 ago - Italia
GENERALI ITALIA

Quantitative Asset Allocation Specialist
The Asset Allocation & LDI Structuring team is part of the Generali Asset Management Investment Function. The team supports the implementation of the investment strategy for all portfolios managed by GenAM and employs quantitative methodologies to perform asset allocation analyses on both existing and new products.
As a quantitative asset allocation specialist, you will play a crucial role in developing and implementing advanced data models to optimize our investment strategies and manage asset‑liability risks.
You will work closely with portfolio managers, analysts, and other stakeholders to analyze financial data, identify trends, and provide actionable insights that drive investment and risk management decisions.
Key Responsibilities
- Develop and maintain predictive models to enhance the accuracy and efficiency of asset allocation, portfolio optimization, and asset liability management




- Support the definition and ensure the implementation of the investment strategy defined by the Head of Investments and the Investment Committee across various portfolios and asset classes
- Develop new software and applications aimed at supporting the overall investment process (both for asset‑only and LDI oriented clients)
- Generate and test investment ideas, analyzing their coherence with the overall portfolio strategy
- Analyze large datasets to identify patterns, trends, and correlations that inform investment and risk management decisions
- Monitor and evaluate the performance of investment strategies and make data‑driven adjustments as needed
- Collaborate with portfolio managers to understand their needs and provide data‑driven recommendations
- Stay up‑to‑date with the latest developments in data science, finance, and technology to continuously improve our models and processes

Requirements
- Master's degree (or equivalent) in Mathematics, Physics, Statistics, Engineering, Quantitative Finance, or a related field
- 1–3 years of p

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