Chevron Corporation
Financial Modelling & Analytics Specialist
Chevron Corporation, Houston, Texas, United States, 77246
Financial Modelling & Analytics Specialist builds robust analytical models to perform advanced financial planning & sensitivity analysis across scenarios, to aid Chevron’s ENGINE in offering unparalleled support under complex and evolving business conditions. This includes design of financial models that quantify risk/reward across strategic business choices, and surface proactive insights. The role will involve collaboration with global stakeholders across operations, enterprise planning, and finance to shape future-ready strategy that influence capital allocation, portfolio optimization, and performance management.* Build and maintain financial models (e.g., cash flow forecasts, NPV/IRR, capital planning) to support core business analysis, including translation of operational metrics into financial metrics* Ensure high performance standards with strategic back-testing to validate assumptions and improve predictive stability* Partner with analytics, finance, and operations to align on inputs, data refresh cadence, and result interpretation, while adhering to pre-established global IT standards* Implement scenario frameworks and stress tests to manage scenario libraries for rapid what-if analysis, and pro-active model upgradation* Maintain auditability, versioning, and lineage for model code, assumptions, and outputs; curate certified, documented models in the catalog* As required, extend models with advanced capabilities (e.g., stochastic drivers, real options valuation, robust sensitivity and tornado analyses) to inform high-impact operational and strategic decisions* Bachelor’s degree in Statistics, Finance/Economics, Computer Science, or related field* 6–10 years in decision analysis, financial modeling, or advanced analytics, with a track record of producing models that support executive leadership decision-making* Expertise in advanced financial scenario planning, sensitivity analysis, and probabilistic modeling, Experience integrating diverse data sources for enterprise-level insights* Strong Python and SQL skills for simulation, analytics, and automation* Ability to quantify and communicate uncertainty and trade-offs to non-technical audiences using business language
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