‣ Apply quantitative and statistical analysis to evaluate financial data, performance metrics, and risk scenarios. ‣ Designed and enforced a rule-based risk management framework, incorporating Value- at-Risk (VaR) concepts and structured stop parameters ~5% relative risk per trade. ‣ Analyzed large datasets derived from volume, order flow, and price behavior to identify probabilistic patterns and improve execution consistency. ‣ Maintained detailed analytical logs to measure performance, refine assumptions, and reduce drawdowns and losing streak frequency by ~60%. ‣ Translate complex data into structured insights to support decision-making under uncertainty.

‣ Developed Python-based analytical automation tools, integrated into Excel dashboards, improving calculation accuracy and stakeholder confidence by ~20%. ‣ Led a data-driven harmonization initiative, combining analytics and process redesign to achieve ~2× faster implementation timelines. ‣ Conducted enterprise-wide analytical reviews of compensation structures, supporting data consistency, internal equity, and market alignment. ‣ Served as a global analytical point of contact for reporting and communications related to compensation and wellness programs. ‣ Partnered with HR and Finance teams to support planning cycles, analytical reporting, and governance processes.

‣ Supported compensation and benefits integration following a large-scale multinational merger (Monsanto-Bayer). ‣ Utilized SAP as the primary system for compensation, payroll, and benefits administration. ‣ Reviewed, standardized, and implemented employee benefit programs across multiple business units. ‣ Assisted in compensation audits to ensure compliance, internal equity, and policy alignment