kevinrodonnell

Mainly Automation... ● Conducted a comprehensive quantitative analysis of all funds featured at a key industry conference, identifying top-performing funds that aligned with specific portfolio objectives. This led to a successful allocation. ● Actively contributed to the Investment Committee and Portfolio Management Committee, providing analysis and insights on portfolio and fund performance. Built advanced Excel models incorporating return data to generate automated charts, scenario analyses, and calculations of key performance metrics, enhancing portfolio monitoring and decision-making. ● Built a local SQL database and interactive Plotly dashboard (dash), automating quarterly fund data updates and enabling advanced searches, comparisons, and portfolio analysis by exposures, leverage, and returns, which significantly improved efficiency. ● Built and maintained Python codebases for scenario analysis, backtesting, and stress testing, comparing current and future portfolios, generating HTML reports to visualise market event impacts and key insights. ● Automated hedge fund data retrieval from emails (pdfs) utilising python. Automatically updated associated databases, dashboards, and sent automated emails with daily risk results, reducing processing time from ~2 hours to instantaneous. ● Automated UCITS fund risk reporting by processing position-level Excel data through a Python codebase that performs all risk calculations and generates PDF reports via Quarto and LaTeX, reducing processing time from ~6 hours to instantaneous.

Worked at a start-up during uni. ● Co-developed the company’s website using React for the front end, with HTML, CSS, and Bootstrap for responsive design, and Node.js for the back end. Integrated a Stripe payment gateway, enabling seamless transactions and achieving the first online sale. ● Led the local sales team, using data analysis to identify target customers and securing sales with 20+ small businesses while founders focused on large-scale clients.