Quantitative Asset Allocation Specialist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7asm84

ppThe 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. /p pAs 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. /p pYou 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. /p h3Key Responsibilities /h3 ul liDevelop and maintain predictive models to enhance the accuracy and efficiency of asset allocation, portfolio optimization, and asset liability management /li liSupport 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 /li liDevelop new software and applications aimed at supporting the overall investment process (both for asset-only and LDI oriented clients) /li liGenerate and test investment ideas, analyzing their coherence with the overall portfolio strategy /li liAnalyze large datasets to identify patterns, trends, and correlations that inform investment and risk management decisions /li liMonitor and evaluate the performance of investment strategies and make data-driven adjustments as needed /li liCollaborate with portfolio managers to understand their needs and provide data-driven recommendations /li liStay up-to-date with the latest developments in data science, finance, and technology to continuously improve our models and processes /li /ul h3Requirements /h3 ul liMaster's degree (or equivalent) in Mathematics, Physics, Mathematica Engineering, Quantitative Finance,



or a related field /li li1–3 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 /li liStrong 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 /li liDemonstrated interest in financial markets and investments through academic studies, professional experience, personal projects, or research activities /li liPrevious experience as a Portfolio Manager, Investment Analyst, Quantitative Analyst, or in a similar financial role is considered a strong advantage /li liPostgraduate 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 /li liFluency in English, both written and spoken /li /ul pThe 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). /p pThe 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. /p h3Additional benefits /h3 ul liHealth insurance coverage /li liSupplementary pension scheme /li liHybrid working arrangements (Smart‑working) /li liPreferential access to Group products and services /li liTraining programs and Learning platforms /li liOpportunities for internal and international mobility /li /ul pAs 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. /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7asm84