At FactSet, I analyzed performance and attribution data for global institutional asset managers, validating returns, holdings, and benchmark data before delivery. I also onboarded benchmarks for institutional clients, from sourcing index data through activating it in performance reports.
I automated recurring reports and team processes using Python, SQL, Power BI, and Databricks, replacing manual steps in the reporting workflow. On Databricks, I built a Claude API pipeline to monitor workflows, identify recurring issue root causes, and create and monitor standard operating procedures.
As an independent quantitative and data analyst, I built Python and SQL pipelines for Brazilian equities and derivatives market data. I also developed and backtested systematic trading strategies, measuring returns, volatility, drawdown, and risk-adjusted performance.
Earlier, I worked in client-facing roles at Exinvest, Ágora Corretora, XP Investimentos, and Bloomberg, covering commercial management, trading, investment advice, and institutional client support. I hold the CQF and an MBA in Business Intelligence, Data Science & Big Data.
