- Santriya Technologies is seeking an AI Trade Surveillance & Controls Analyst to investigate market-conduct and surveillance alerts using AI/ML-assisted pattern detection while ensuring decisions are evidence-based, explainable and compliant with regulatory procedures.

- 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:

- Review trade/order/communication alerts and contextual market data.

- Use AI to summarize sequences, cluster related events and surface relevant policies; verify source evidence independently.

- Assess potential spoofing, layering, insider dealing, manipulation or conduct concerns as applicable.

- Document rationale for closure or escalation in a transparent, reproducible manner.





- Escalate credible concerns to compliance/legal investigation teams within required timelines.

- Identify false-positive patterns and control gaps and work with model/rules owners on tuning.

- Maintain confidentiality and information barriers.

- Participate in QA, calibration and regulatory/audit responses.

- 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:
- Alert quality and investigator productivity improve

- Escalations remain timely and well-supported

- False positives reduce responsibly
- Evidence and rationale are audit-ready

📌 AI Trade Surveillance & Controls Analyst (Chennai)
🏢 Santriya Technologies
📍 Chennai