Quantitative Asset Allocation Specialist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79n6yg

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 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, Mathematica Engineering, Quantitative Finance, or a related field




- 1–3 years of professional experience in quantitative analysis, financial modeling, data science, or related quantitative activities, preferably gained within the asset management, investment, banking, insurance, or broader financial services industry
- Strong programming skills in Python and solid proficiency in Microsoft Office applications. Knowledge of SQL, database management systems, Visual Basic, C/C++, or Java is considered a plus
- Demonstrated interest in financial markets and investments through academic studies, professional experience, personal projects, or research activities
- Previous experience as a Portfolio Manager, Investment Analyst, Quantitative Analyst, or in a similar financial role is considered a strong advantage
- Postgraduate qualifications in Finance (e.g., Master's degree in Finance, CFA Program, FRM, or equivalent) or the willingness to pursue such certifications are highly appreciated
- Fluency in English, both written and spoken

The role is offered within the 3° Area Competente category, under the National Collective Labour Agreement for the Banking Sector (CCNL Credito) and the applicable Company Collective Agreement (Contratto Integrativo Aziendale).

The starting gross annual salary is €37.000. The final offer will reflect the candidate’s professional experience and the technical and interpersonal competences required for the position and may include an individual variable compensation component.

Additional benefits

- Health insurance coverage
- Supplementary pension scheme
- Hybrid working arrangements (Smart‑working)
- Preferential access to Group products and services
- Training programs and Learning platforms
- Opportunities for internal and international mobility

As an Equal Opportunity Employer, Generali evaluates all applications based exclusively on objective and gender-neutral criteria, including skills, experience and potential, ensuring fairness and transparency throughout the selection process.

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79n6yg