Senior Business Analyst – Commodities Trading & AI
3 days onsite in London starting ASAP initially until 31st Dec.
Are you an experienced Business Analyst who wants to help support the expansion of AI enabled products within a globally renowned top tier energy and commodities trading business?
We’re seeking Senior Business Analysts who can offer experience of;
- Working within a Commodities Trading organisation
- Working on delivering AI, ML or highly advanced data analytics solutions
We’re seeking the above because as a Senior BA you’ll be acting as an important bridge between business and technology teams, translating complex commodities trading business challenges into digital and AI-enabled solutions.
As an experienced business analyst applying for this role you’ll be doing the below, and be expected to talk through this experience with confidence.
- Lead discovery, analysis, process modelling and requirements definition activities across multiple strategic initiatives.
- Translate business opportunities and operational challenges into actionable functional and technical requirements.
- Facilitate workshops with traders, schedulers, operators, commercial teams, product owners and technology teams.
- Define user stories, business processes, capability maps, acceptance criteria and business outcomes.
- Drive solution alignment across business, product and engineering teams.
For context any relevant Data/AI/ML projects experience that aligns well with the below should be highlighted in your CV.
- Experience delivering AI, Machine Learning or Advanced Analytics solutions.
- Understanding of Gen AI and Large Language Models (LLMs).
- Experience converting business requirements into AI use cases.
- Familiarity with AI product lifecycles and adoption challenges.
- Identify opportunities to leverage AI and Generative AI capabilities within trading and commercial workflows.
- Work closely with AI engineers, data scientists, and developers to define and deliver AI-enabled solutions.
- Support product discovery, MVP definition, and scaling of successful AI products.
- Translate business use cases into requirements suitable for AI and Large Language Model (LLM) based solutions.
- Evaluate business value and adoption opportunities for AI-enabled products.
Prior experience with the common technologies found within enterprise energy commodities trading and supply organisations is preferred, e.g.
- Endur
- Allegro
- Openlink
- RightAngle
- SAP
- Veson
- Trading Data Platforms
- Commodity Risk Management Systems
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