Trading, Investment & Optimization - QuantAI Full Stack Manager (Hybrid)

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com. Our Team: QuantAI sits between quantitative research, agentic engineering, product delivery, and client-facing transformation inside Accenture's Industry and Enterprise Reinvention aimed at servicing the CEO function. The work is small-team, high-ownership, and close to senior stakeholders. QuantAI is building artificial intelligence (AI)-native decision systems for energy, commodities, power, utilities, trading, financial, and industrial operations. The quantitative foundation is already strong. The next bottleneck is turning that foundation into enterprise-ready products: useful front ends, reliable backend services, practical deployment paths, reusable architecture, and the engineering discipline needed to move from demo to pilot to repeatable client offering. • The Director of QuantAI Research and Rapid Prototyping will continue to set and drive the research and strategic direction informed by inputs from senior leaders and client stakeholders. This role is expected to spearhead the full-stack execution layer: product architecture, build quality, deployment path, engineering practices, and the growth of the full-stack team. • The team already brings deep experience in research, forecasting, and market modeling. The full-stack practice is newer, giving this manager meaningful room to help shape how it grows. • The team is building reusable assets that can move from internal demo to client pilot to repeatable offering. The goal is not a collection of disconnected proofs of concept. • The first commercial wedge is centered on energy, commodities, power, utilities, trading, and industrial decision systems, with adjacent financial workflows where the fit is real. • You should expect direct technical feedback, ambiguous problem statements, fast iteration, and close collaboration with quants, engineers, client teams, and senior leaders. • This is a strong fit for someone who likes building in the open, using agentic tools to move faster, and still taking responsibility for whether the product is secure, usable, reliable, explainable, and worth shipping.