AI Analyst

Location: London, UK Team: AI Enablement / Volcafe Research \& Trading Intelligence Primary Stakeholders: Volcafe trading, research, finance, and commercial teams in London and Switzerland Focus: Research automation, trading intelligence, KPI reporting, signal extraction, ERP/data integration, AI-enabled workflow design Role Overview Volcafe is seeking an AI Enablement Analyst to help transform how research, trading intelligence, commercial KPIs, and market signals are captured, analyzed, and distributed across the business. This role will be based in London and will work closely with desk personnel across London and Switzerland, supporting Volcafe’s coffee trading and research teams through AI-enabled analytics, workflow automation, data extraction, and decision-support tools. The successful candidate will sit at the intersection of research, trading, data, AI, and business operations. They will help identify manual or fragmented workflows, translate desk needs into structured AI-enabled solutions, and build tools that improve visibility into market conditions, trading signals, liquidity signals, KPIs, and operational/commercial performance. This is not a pure software engineering role. It is a hands-on business enablement role for someone who is analytically strong, commercially curious, technically capable, and eager to work directly with traders, researchers, and commercial stakeholders. What You’ll Do Research \& Trading Intelligence Enablement *Work with Volcafe research and trading teams to improve how market intelligence is captured, synthesized, and surfaced.* Key workflows may include: * Surfacing trading signals from internal and external data sources * Identifying liquidity signals from emails, Teams messages, broker commentary, market updates, and scraped sources * Summarizing origin-level market intelligence, weather, crop, flow, export, and stock data * Automating daily and weekly research updates * Building tools to compare market commentary across sources * Creating structured intelligence feeds for traders and commercial teams * Supporting natural-language Q\&A over internal research, market notes, reports, and data sources The goal is to move from fragmented information to repeatable, searchable, and actionable trading intelligence. KPI Reporting \& Commercial Analytics *Build and improve KPI workflows for trading, research, and commercial leadership.* Example areas may include: * Desk performance KPIs * Trading activity and market participation metrics * Research output and usage metrics * Commercial pipeline indicators * Liquidity and market activity signals * Origin / region / counterparty-level analytics * Operational and execution metrics * Automated daily, weekly, and monthly reporting packs You will work with business users to understand which KPIs actually matter, where the data lives, how it should be validated, and how it should be presented for decision-making. Signal Extraction from Email, Teams \& Scraped Data *Design workflows that extract useful intelligence from unstructured and semi-structured sources:* Including: * Internal emails * Teams chats and channels * Broker updates * Market commentary * Research reports * Origin updates * News and public data sources * Web-scraped market or logistics data * Uploaded documents, PDFs, and spreadsheets Potential use cases include: * Identifying recurring market themes * Extracting bids/offers, liquidity indications, pricing commentary, and counterparty signals * Flagging unusual market activity or sentiment shifts * Summarizing key messages by region, origin, or product * Generating action-oriented daily intelligence briefings * Linking unstructured commentary back to structured trade, position, or KPI data This will require strong judgment around source quality, permissions, data lineage, and when human review is required. ERP \& Data Integration Enablement *Work with technology, data, and business teams to support integrations between AI workflows and enterprise systems.* This may include: * Understanding ERP data structures and business processes * Mapping data from ERP systems into analytics and AI workflows * Supporting integrations with trading, logistics, finance, inventory, and reporting systems * Helping define requirements for APIs, data feeds, and structured outputs * Validating that ERP-derived data is accurate, timely, and fit for use * Building prototypes that combine ERP data with market intelligence and research commentary The role requires comfort working with both structured system data and messy business context. AI Workflow Design \& Prototyping *Design and implement AI-enabled workflows using Volcafe / Hartree’s internal AI tooling and related platforms.* Responsibilities may include: * Building prompt templates and reusable prompt libraries * Designing agent workflows for research synthesis and trading intelligence * Creating RAG / document Q\&A workflows over approved sources * Building bot prototypes or workflow assistants * Creating evaluation datasets and quality checks * Testing AI outputs for accuracy, consistency, and usefulness * Working with IT / engineering teams to productionize successful prototypes * Documenting workflows, assumptions, limitations, and controls You will be expected to distinguish clearly between: * AI-assisted tasks — summarization, classification, extraction, synthesis, commentary drafting * Deterministic tasks — KPI calculations, reconciliations, exposure/PnL calculations, data validation, system-of-record reporting What You'll Need: * Experience in one or more of the following: * Commodity research * Trading analytics * Commercial analytics * Data analytics / data science * Business analysis * Trading operations * Finance / performance reporting * Market intelligence * AI / automation enablement * Strong analytical skills and comfort working with market, commercial, or operational data. * Experience with Excel and at least one of Python, SQL, Power BI, Tableau, or similar analytical tools. * Ability to work with both structured data and unstructured content. * Strong communication skills and comfort working directly with traders, researchers, and commercial users. * Ability to translate business needs into practical analytical, automation, or AI-enabled workflows. * Strong attention to detail and ability to operate in a fast-moving commercial environment. Desired * Experience in coffee, soft commodities, agriculture, energy, metals, or another physical commodity market. * Familiarity with trading desks, research teams, market data, liquidity, bids/offers, pricing commentary, or commercial KPIs. * Experience extracting insights from emails, chat data, PDFs, reports, or scraped datasets. * Exposure to ERP systems, trading systems, logistics systems, finance systems, or enterprise reporting platforms. * Experience with AI/LLMs, prompt engineering, RAG workflows, agentic AI, or workflow automation. * Python or SQL experience used for analysis, prototyping, data extraction, or automation. * Experience building dashboards, automated reports, data pipelines, or market intelligence tools. * Understanding of how commercial teams consume research, signals, KPIs, and trading intelligence. What Success Looks Like * Traders and researchers receive faster, cleaner, and more actionable market intelligence. * Trading and liquidity signals are surfaced systematically from emails, Teams, reports, and scraped data. * KPI reporting becomes more automated, reliable, and easier to consume. * Research workflows become more repeatable and less dependent on manual assembly. * ERP and system data are better connected to commercial analytics and AI tools. * Desk users trust the outputs because they are source-grounded, validated, and useful. * AI workflows are adopted in daily work, not left as one-off experiments. * You become a trusted bridge between Volcafe’s commercial teams and technology / AI delivery teams. Why This Role This role offers the opportunity to sit at the center of coffee markets, trading intelligence, research, data, and AI transformation. You will work directly with Volcafe’s commercial teams in London and Switzerland to improve how market signals are captured, how KPIs are tracked, how research is distributed, and how AI is embedded into daily trading and research workflows. For someone who wants to combine commodities, analytics, AI, and desk-facing commercial work, this is a high-impact role with significant room to grow.