Trading, Investment & Optimization - QuantAI Manager

Accenture • Los Angeles, CA

1d

About The Position

Strategy & Consulting: We work with C-suite executives, leaders and boards of the world’s leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization’s total enterprise reinvention. The role: QuantAI is building cutting-edge AI-native decision systems for energy, commodities, financial, trading, and industrial operations, where the economics and mechanics are equally real. We are looking for a hands-on quantitative lead who can identify where advanced modeling creates real value, prove it through rigorous research, and help turn the strongest ideas into durable, reusable products. This is a player-coach role. The person in this role will set quantitative direction, stay close to the code and research process, and help decide what should become a demo, a pilot solution, or a reusable client offering. You will also help develop and set the bar for a small high-bar team spanning quantitative and engineering talent. This is not a generic analytics manager, a pure advisory lead, or a research role that stops at notebooks. The bar is work that can stand up to backtests, operational constraints, desktop or cloud delivery realities, and client scrutiny. The Work: Frame high-value quantitative problems across forecasting, optimization, quantitative risk, anomaly detection, and related decision workflows tied to economic or operational outcomes. Personally prototype models, run backtests, simulation studies, and solver-based experiments, and set the research bar for evaluation, benchmarking, and out-of-sample discipline. Decide when modern sequence modeling, representation learning, generative modeling, optimization, or hybrid systems materially outperform classical methods, and when they do not. Bring solver-based optimization, physical-system modeling, and market-structure reasoning closer to the foreground when the mechanics of the system matter as much as predictive accuracy. Partner with engineers to turn strong research into reliable, auditable tools, whether that means cloud-hosted services, client-ready interfaces, or packaged desktop workflows. Help keep the team's first commercial wedge sharp around energy, commodities, and industrial decision systems, while still supporting adjacent financial and trading workflows where the fit is real. Translate quantitative work for senior stakeholders when the model, decision logic, and business consequence all need to be clear at the same time. Travel - as needed, up to 25% Team and environment QuantAI is small by design and sits between quantitative research, product engineering, and client delivery inside Accenture. Strong work gets recognized by senior stakeholders quickly. The team is deliberately focused: advanced algorithms wrapped in enterprise-grade workflow, governance, and packaging for high-stakes decision systems. The team is building reusable assets that can move from demo to pilot to repeatable client offering, not a collection of disconnected proofs of concept. You will work with technical peers who bring different strengths: deep quantitative research on one side, and product or agentic engineering on the other. The goal is to combine those strengths into something clients will trust, buy, and rely on. This role is hands-on and calls for steady judgment in ambiguous territory. Influence, judgment, and follow-through matter more than acting as a layer above the technical work.

Requirements

• Bachelor's degree in mathematics, statistics, engineering, computer science, economics, finance, operations research, or a related field. An associate degree is acceptable with at least a minimum of 2 additional years of directly relevant experience and a strong record of applied quantitative work.
• Minimum 5 years of experience in quantitative modeling, decision science, analytics consulting, quantitative research, or related product development roles where model output influenced real decisions.
• Minimum 3 years of hands-on experience in one or more of the following areas: forecasting, optimization, quantitative risk, anomaly detection, market modeling, physical-system modeling, or related high-stakes decision systems.
• Minimum of 2 years of experience in power, energy, commodities, utilities, financial, trading, market operations, industrial systems, or a related field.

Nice To Haves

• Strong Python and hands-on experience with modern quantitative research workflows, including rigorous back testing, simulation, benchmarking, and evaluation design, plus enough practical depth to guide deep-learning or optimization work when it materially outperforms simpler methods.
• Evidence that you can operate as a hands-on technical lead: set direction, review work rigorously, work closely with product engineers, translate model logic for senior stakeholders, and decide what should be productized next.
• MBA, master's in financial engineering, operations research, applied mathematics, or a related advanced degree.
• Exposure to cutting edge large foundational model training and finetuning techniques or agent-assisted workflows when they improve the decision system rather than distract from it.
• Experience with tools and platforms commonly used in this work, such as PyTorch, GPU workflows, solver libraries, distributed training, model serving, or research infrastructure.

Responsibilities

• Frame high-value quantitative problems across forecasting, optimization, quantitative risk, anomaly detection, and related decision workflows tied to economic or operational outcomes.
• Personally prototype models, run backtests, simulation studies, and solver-based experiments, and set the research bar for evaluation, benchmarking, and out-of-sample discipline.
• Decide when modern sequence modeling, representation learning, generative modeling, optimization, or hybrid systems materially outperform classical methods, and when they do not.
• Bring solver-based optimization, physical-system modeling, and market-structure reasoning closer to the foreground when the mechanics of the system matter as much as predictive accuracy.
• Partner with engineers to turn strong research into reliable, auditable tools, whether that means cloud-hosted services, client-ready interfaces, or packaged desktop workflows.
• Help keep the team's first commercial wedge sharp around energy, commodities, and industrial decision systems, while still supporting adjacent financial and trading workflows where the fit is real.
• Translate quantitative work for senior stakeholders when the model, decision logic, and business consequence all need to be clear at the same time.

Benefits

• Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager