• Extensive product, price, risk management, and insurance regulation knowledge, including professional standards of actuarial/ statistical techniques.• Solid academic background in statistics, data analysis, and proficiency in R, Python, SQL, and Excel.• Familiar with the financial reporting process, Time Series Analysis, forecasting, modeling, and data mining.• Effective problem solver, detail-oriented, effective communication and collaboration skills, adaptable and quick response, and proactively seek alignment.• Great project coordination and handling diverse responsibilities, collaborating on teams, and working independently depending on the project's requirements.