Market Risk Analyst – Power & Electricity Trading

QUANTEAM - North America (RAINBOW PARTNERS Group); Paris, Lyon; Sur place; MXN 1 038 781 - 1 558 171; Plein temps

Résumé du poste

A consulting firm in financial services is seeking a Senior Business Analyst specialized in Energy Trading to support AI-driven technology implementations. The role involves acting as a liaison between business teams and IT, analyzing business requirements, and driving the adoption of AI solutions. Ideal candidates should have a profound understanding of Energy Trading processes and advanced knowledge of AI technologies while exhibiting excellent analytical and communication skills. This position offers opportunities for significant impact in the energy sector.

Qualifications

• Strong experience as a Business Analyst or Consultant in Energy Trading.
• Solid understanding of front-to-back Energy Trading processes.
• Advanced knowledge of AI technologies relevant to the industry.

Responsabilités

• Act as Business Consultant between Energy Trading teams and IT.
• Analyze business requirements related to AI use cases.
• Drive implementation of AI solutions in collaboration with tech teams.
• Contribute to definition of IT governance and operating models.

Connaissances

Business Analysis in Energy Trading

AI Concepts and Technologies

Stakeholder Management

Analytical Skills

Description du poste

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specialized in Banking, Finance, and Financial Services. Through our core human values – proximity, teamwork, diversity, excellence – our 1000 expert consultants, hailing from 35 different nationalities, collaborate across 13 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Luxembourg, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore.

Role Overview:

We are looking for a Senior Business Analyst to join one of our clients specialized in Energy Trading, to support the implementation of AI-driven technologies within IT while also contributing to the structuring and organization of the IT function.

This role sits at the intersection of business, technology, and consulting, requiring strong industry knowledge, advanced AI understanding, and the ability to drive transformation across stakeholders.

Key Responsibilities:

• Act as a Business Consultant between Energy Trading business teams (Trading, Risk, Middle Office, Operations) and IT
• Analyze and formalize business requirements related to AI use cases (forecasting, optimization, risk analytics, automation, decision support)
• Drive the implementation of AI and data-driven solutions within IT, in collaboration with Data Scientists, Engineers, and Architects
• Contribute to the definition and organization of IT processes, governance, operating models, and delivery frameworks
• Identify opportunities where AI can enhance performance, efficiency, and decision-making across Energy Trading activities
• Support change management, ensuring adoption of new tools and processes by business users
• Structure documentation, roadmaps, and KPIs to monitor IT and AI initiatives
• Facilitate workshops, steering committees, and executive-level presentations in English

Required Skills & Experience:

• Strong experience as a Business Analyst or Business Consultant in Energy Trading (Power, Gas, Commodities, or related markets)
• Solid understanding of Energy Trading front-to-back processes (Trading, Risk, PnL, Scheduling, Operations)
• Advanced knowledge of AI concepts and technologies (machine learning, predictive analytics, automation, data platforms)
• Proven experience working on IT transformation or digital transformation programs
• Ability to structure and improve IT organization, governance, and operating models
• Strong analytical, communication, and stakeholder management skills
• Fluent in English (written and spoken); ability to interact with senior business and IT stakeholders

Nice to Have:

• Experience with data platforms, cloud environments, or AI frameworks
• Exposure to Agile / Product-driven delivery models
• Background in consulting environments or large-scale transformation programs