- Santriya Technologies is seeking an AI Markets & Trade Operations Analyst to support trade capture, confirmation, settlement and lifecycle events using AI-assisted exception analysis and documentation, with controlled human action for financial and client-impacting decisions.

- Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.

- The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.

- Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.

- Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance.

- Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities:

- Monitor trade flows, confirmations, allocations, settlements and lifecycle events for assigned products.

- Use AI to summarize breaks, compare records and suggest likely causes, verifying against authoritative trade systems.

- Resolve standard exceptions and coordinate front office, counterparties, operations, finance and technology for complex breaks.

- Maintain maker-checker, cutoff and escalation controls.

- Document corrections,



root causes and recurring break patterns.

- Support reconciliations, client queries and regulatory/management reporting.

- Escalate market, liquidity, sanctions, conduct or material P&L; impacts promptly.

- Recommend automation for repeat breaks with explicit control design.

- AI-enabled ways of working:

- Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.

- Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.

- Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.

- Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

- Human accountability: AI is a copilot, not the accountable decision-maker.

- The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.

- Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

- Success Measures:
- Settlement and break resolution improve

- Operational losses and aged breaks reduce

- Controls remain effective
- Root-cause data drives automation

📌 AI Markets & Trade Operations Analyst (Chennai)
🏢 Santriya Technologies
📍 Chennai