Madrid, Community of Madrid, Spain
Industrial Engineer currently pursuing a Master in Finance, with a multicultural background and fluency in Arabic, English, and French. Demonstrates a strong ability to structure and analyze complex financial problems by breaking them into measurable components—enabling both quantitative and qualitative assessment of risk and performance. Proficient in Python for financial analysis and modeling, and experienced in leveraging tools like FactSet and Bloomberg to evaluate investment opportunities and manage portfolio exposure. Well-versed in risk management principles, with a focused interest in identifying, quantifying, and communicating financial risks across asset classes. Proven track record in project coordination, resource planning, and stakeholder communication—skills critical to aligning financial objectives with effective risk-adjusted strategies. Committed to supporting long-term, value-driven investment decisions through a strategic and analytical lens.
Conducted investment research and portfolio analysis with a focus on risk-adjusted returns and macro-driven decision making. Leveraged FactSet tools to analyze historical market events, including the COVID-19 pandemic, to identify uncorrelated stocks across sectors. This analysis led to the selection of LEU (nuclear energy) and Palantir (AI software) as complementary high-growth investments aligned with clean-energy and AI analytics trends, which generated realized portfolio gains of approximately 25% and 45%, respectively. Additionally, performed macroeconomic and market-risk analysis on U.S. equities—evaluating GDP growth, inflation trends, Federal Reserve policy shifts, and CPI reports—to inform stock selection and optimize portfolio positioning.