Job Title: Product Manager - AI Transformation (Commodities & Finance Focus)
Location: Navi Mumbai, India
About Us:
It is a cutting-edge research and technology firm at the intersection of applied mathematics, statistical learning, and artificial intelligence. We build next-generation trading intelligence systems that empower smarter, faster, and more informed decisions in the complex world of global commodities markets. By combining advanced quantitative modeling with AI-driven insights, we’re redefining how data becomes strategy — and how technology shapes the future of trading.
Job Summary:
We are seeking a strategic Product Manager to play a pivotal role in a cutting-edge AI project focused on commodities trading and quantitative finance. You will be the vital link between our business stakeholders (including traders, trade analysts, and operations teams) and our technology/AI development teams. Leveraging your deep understanding of ERP systems and software technology, you will analyze complex business processes to identify opportunities where AI-driven solutions can deliver cost optimization and support trading decisions. You will also conceptualize and design products that deliver efficiencies from automation in the best possible way.
Key Responsibilities:
• Collaborate closely with business leaders, subject matter experts, and end-users across
commodities trading, hedge fund operations, quantitative finance, and potentially shipping/logistics to gather, analyze, and document complex business processes for AI-driven solutions.
• Analyze existing workflows, data sources, and systems (including ERPs) to identify meaningful data that can inform our AI models .
• Translate complex business needs into clear, detailed functional and technical specifications, user stories, process flows, and data models for development teams.
• Act as a subject matter expert on business processes, data requirements, and system capabilities related to commodities, finance (futures, options, quant strategies), and trade lifecycles.
• Work with data scientists and AI engineers to define data requirements, understand model outputs, and ensure AI solutions meet business objectives.
• Support the project lifecycle, including design, development, testing (UAT coordination and execution), and implementation of AI and software solutions.
• Develop and maintain comprehensive project documentation.
• Stay abreast of industry trends, AI advancements, and best practices relevant to the target domains.
• Communicate effectively with stakeholders at all levels, managing expectations and providing clear updates on progress and challenges.
Required Qualifications & Experience:
• Minimum of 2 years of experience working as a Product Manager with a significant focus on technology-driven projects.
• Strong understanding of software development lifecycles, technology architecture, and integration principles.
• Proven ability to analyze complex problems, synthesize information, and develop innovative solutions.
• Exceptional analytical, critical thinking, and problem-solving skills.
• Excellent verbal and written communication skills, with the ability to articulate complex
concepts to both technical and non-technical audiences.
• Demonstrated experience in stakeholder management and requirements elicitation.
• Must be based in or willing to relocate to Navi Mumbai.
Must Have Skills
• Figma
• Use of MS Excel or Google Sheets to manage, analyse and present data
• Prompt Engineering, RAG pipelines and knowledge of latest LLM models
• Project Management Fundamentals and Software Development Lifecycle (SDLC)
• Financial Markets & Commodities Knowledge (Preferred)
• Agile Methodologies (Preferred)
Preferred Qualifications & Experience:
• Direct experience working on AI, machine learning, or advanced analytics projects.
• Significant experience within one or more of the following domains:
o Commodities Trading (Physicals, Energy, Metals, Softs)
o Commodity Futures & Options
o Hedge Funds / Asset Management
o Quantitative Finance / Trading
o Trade Finance or Operations
o Shipping / Logistics
• Familiarity with electronic trading platforms, risk management systems, or ETRM/CTRM systems.
• Experience with Agile/Scrum methodologies.
• Proficiency with data analysis tools (e.g., SQL, Python) and business intelligence platforms is a plus.
