Ilaria Falanga

I am a highly data-driven and proactive Senior Analyst with over 7 years of experience in high-volume, complex data environments. I specialize in leveraging advanced analytics to transform raw data into actionable business insights and strategic recommendations.

Key Expertise:

• Predictive Modeling & Strategy: Proven ability to develop and implement advanced forecasting models, improving prediction accuracy by 11%. I design data-driven strategies and algorithms for optimizing performance and risk-adjusted growth.
• Technical Proficiency: Highly proficient in SQL (Expert) and Python (Pandas, NumPy, Seaborn) for complex data analysis, and an Expert in Power BI for visualization and reporting. I have also developed Python-based automation tools to improve data processing efficiency.
• Data Architecture & Governance: Extensive experience leading data transformation projects for new banking clients, standardizing complex financial data to align with regulatory systems. This demonstrates strong skills in handling and structuring diverse data sources, which is key for data architecture.
• Cross-functional & Agile: I have a proven ability to bridge technical data teams with executive and operational stakeholders and thrive in dynamic environments by supporting strategic decision-making and working cross-functionally.

I am seeking to leverage my strong analytical and strategic skills in a challenging international environment in Lugano, where I plan to relocate.

A highly data-driven and proactive Senior Analyst with over 7 years of experience in high-volume, complex data environments. Proven expertise in SQL, Python, and advanced analytics to transform raw data into actionable insights and strategic recommendations.

Key experience spans across:

• Credit Risk and Financial Strategy: Developing data-driven strategies to shape underwriting policies, automate decisioning, and implement advanced forecasting models to improve risk prediction accuracy (e.g., 11% improvement in arrears risk prediction).
• Fintech Data Management: Leading data transformation to standardize complex financial data, developing Python-based automation tools to significantly improve processing efficiency, and handling diverse, disparate data sources.
• Quantitative Analysis and Reporting: Designing and implementing interactive risk dashboards in tools like Power BI for executive reporting. Experienced in financial modeling, Monte Carlo simulations, and portfolio optimization for risk-adjusted returns.
• Business Intelligence: Defining and producing weekly business and performance reports, leading financial data mining that directly contributed to sales growth (e.g., 12% sales growth for a medium-sized firm), and providing vital Business Insights to support Sales teams

Holding a Master of Science (MSc) in Investment & Wealth Management from Imperial College Business School , with specialised coursework in Statistics, Risk Management, Investment Strategies, and Big Data.

This is complemented by a Bachelor of Science (BSc) in Financial Mathematics (Hons) with First Class Honours from Brunel University London.

The academic background provides a strong theoretical and quantitative foundation in complex financial and mathematical principles, directly supporting advanced analytical roles.