- Santriya Technologies is seeking an AI Investment Banking Research Associate to produce decision-useful company, sector and transaction research using approved AI research tools to accelerate discovery and synthesis while maintaining source-level verification and analyst accountability.

- 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:

- Research companies, sectors, markets, transactions and strategic themes from approved data sources.

- Use AI to summarize filings, transcripts and research and to generate questions/hypotheses; verify all figures and facts from primary or licensed sources.

- Build and maintain comparable-company, precedent-transaction and market datasets as required.

- Support valuation, strategic analysis, client materials and internal chance discussions.





- Track news and transaction developments and distinguish confirmed facts from speculation.

- Maintain source citations, dates, assumptions and version control in workpapers.

- Protect material non-public and client-confidential information in approved environments only.

- Partner with senior bankers to convert research into concise client insights.

- 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:

- Research turnaround improves
- Factual and source accuracy remains high

- Analyst time shifts from retrieval to judgement

- Client materials contain traceable evidence

📌 AI Investment Banking Research Associate (Chennai)
🏢 Santriya Technologies
📍 Chennai