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About the role
As a Business Analyst in the Commodity Trading & Risk Management (CTRM) practice, your role will involve sitting at the intersection of trading operations, technology, and AI. You will partner with front-office, risk, and IT teams to deliver impactful system enhancements, streamline trading workflows, and embed intelligent automation into the CTRM ecosystem. Key Responsibilities: - Gather and translate business requirements across trading, risk, and back-office operations - Work on CTRM platforms including Endur, RightAngle, Aspect, CXL, or CSL - Author functional specs, user stories, and acceptance criteria; support UAT and go-live - Manage application support, incident resolution, and release cycles - Perform data analysis and validation using SQL and cloud databases - Track requirements and defects in JIRA; operate within Agile/Scrum delivery - Collaborate with dev and QA teams across the full SDLC - Identify and scope AI/ML use cases: anomaly detection, PnL forecasting, risk signal analysis - Translate AI model outputs into actionable business requirements and system integrations - Partner with data science and engineering teams to deploy AI features on Azure ML / AWS SageMaker - Build and validate LLM based prompt workflows for report generation, compliance checks, and trade commentary automation - Create Power BI/Tableau dashboards surfacing AI-driven insights for risk and trading teams - Champion responsible AI adoption - define guardrails, manage model explainability, and handle data governance Must-Have Skills: - 5 years of experience in CTRM / ETRM domain - Hands-on experience with at least one of: Endur, RightAngle, Aspect, CXL, or CSL - Strong understanding of trading lifecycle, PnL, risk, and hedging concepts - Experience with Azure or AWS cloud platforms - Good knowledge of SQL and relational / cloud databases - Experience in application management and production support - Familiarity with JIRA and Agile / Scrum methodologies - Working knowledge of AI/ML concepts and cloud-based AI services Good to Have: - API and system integration experience - Exposure to DevOps / CI-CD pipelines - Power BI or Tableau reporting skills - Experience with LLM tooling - LangChain, Azure OpenAI, or Copilot Studio Key Traits: - Strong analytical and communication skills - Ability to work in a fast-paced trading environment - Effective stakeholder management across business and IT - AI-curious mindset with a bias for practical, deliverable solutions Qualifications: - Bachelor's degree in Finance, Computer Science, Engineering, Relevant CTRM, BA, or AI/data certifications are a plus. As a Business Analyst in the Commodity Trading & Risk Management (CTRM) practice, your role will involve sitting at the intersection of trading operations, technology, and AI. You will partner with front-office, risk, and IT teams to deliver impactful system enhancements, streamline trading workflows, and embed intelligent automation into the CTRM ecosystem. Key Responsibilities: - Gather and translate business requirements across trading, risk, and back-office operations - Work on CTRM platforms including Endur, RightAngle, Aspect, CXL, or CSL - Author functional specs, user stories, and acceptance criteria; support UAT and go-live - Manage application support, incident resolution, and release cycles - Perform data analysis and validation using SQL and cloud databases - Track requirements and defects in JIRA; operate within Agile/Scrum delivery - Collaborate with dev and QA teams across the full SDLC - Identify and scope AI/ML use cases: anomaly detection, PnL forecasting, risk signal analysis - Translate AI model outputs into actionable business requirements and system integrations - Partner with data science and engineering teams to deploy AI features on Azure ML / AWS SageMaker - Build and validate LLM based prompt workflows for report generation, compliance checks, and trade commentary automation - Create Power BI/Tableau dashboards surfacing AI-driven insights for risk and trading teams - Champion responsible AI adoption - define guardrails, manage model explainability, and handle data governance Must-Have Skills: - 5 years of experience in CTRM / ETRM domain - Hands-on experience with at least one of: Endur, RightAngle, Aspect, CXL, or CSL - Strong understanding of trading lifecycle, PnL, risk, and hedging concepts - Experience with Azure or AWS cloud platforms - Good knowledge of SQL and relational / cloud databases - Experience in application management and production support - Familiarity with JIRA and Agile / Scrum methodologies - Working knowledge of AI/ML concepts and cloud-based AI services Good to Have: - API and system integration experience - Exposure to DevOps / CI-CD pipelines - Power BI or Tableau reporting skills - Experience with LLM tooling - LangChain, Azure OpenAI, or Copilot Studio Key Traits: - Strong analytical and communication skills - Ability to work in a fast-p
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