Noah Bloomberg

Background

About Noah Bloomberg

With a solid foundation in Actuarial Science and a master's in Financial Mathematics underway, I bring a deep passion for data-driven decision-making and quantitative analysis to the financial sector. My experience spans across key areas such as investment risk, fraud prevention, and data insights, where I have developed and implemented sophisticated models that drive strategic outcomes.In my role as a Senior Analyst in Fraud Prevention and Detection, I have leveraged advanced Python, SQL, and SAS skills to architect complex data pipelines, automate reporting processes, and enhance fraud detection strategies. My work has been instrumental in improving the efficiency and effectiveness of fraud prevention efforts, ensuring the protection of critical financial assets.Previously, as a Research Investment Strategy Advisor, I was responsible for delivering advanced financial data analytics for major investment initiatives. I developed scenario-based models using R and Python, built automation tools to streamline reporting, and created interactive dashboards with RStudio and Shiny. My work enabled stakeholders to make informed investment decisions based on rigorous data analysis.Throughout my career, I have demonstrated a strong ability to collaborate with cross-functional teams, automate complex business processes, and translate complex data into actionable insights. Whether developing rules-based models to query databases or working closely with data engineers to build self-service tools, my focus is always on driving efficiency and delivering value.