Trading, Investment & Optimization - QuantAI Full Stack Manager; Hybrid

Position: Trading, Investment & Optimization - QuantAI Full Stack Manager (Hybrid)
Job Description

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships.

We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.

We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at

Our Team:

Quant

AI 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.

Quant

AI 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 Quant

AI 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 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.

Your Role

We are seeking a hands-on full-stack productization manager who can spearhead that layer. You will work closely with the Director of Quant

AI Research and Rapid Prototyping; the ideal candidate for this role will translate that direction into product architecture, working software, deployment choices, engineering standards, and build an elite full-stack team around the work. This is a builder-manager role for someone who has shipped real applications, worked through ambiguity in a startup-like environment, and knows how to make the right technical trade-offs when the answer is not yet obvious.

This is not a generic delivery manager, a pure advisory role, or a role that delegates the build while staying above the details. It fits the candidate who can create structure in a startup-like environment with access to resources from the world's largest professional services organization, stay close to code, architecture and infrastructure, build attractive and effective interfaces for expert users, and seamlessly work with enterprise constraints part of the design rather than an afterthought.

You do not need to be steeped in quantitative research, but you do need enough quantitative and AI and agentic fluency to work credibly with the team.

Key Responsibilities:

* Spearhead the full-stack productization path for Quant

AI assets, turning quantitative and agentic prototypes into applications, interfaces, workflow tools, services, and packaged products that can hold up with internal senior leaders, expert users, and client stakeholders.

* Stand up frontend experiences that make advanced algorithms usable in real workflows, including dashboards, expert-facing application flows, evaluation views, governance interfaces, and decision-support surfaces for trading, energy, utilities, industrial, and adjacent financial use cases.

* Make pragmatic architecture choices across frontend, backend, application programming…