AI Engineer- Traded Risk
HSBC Holdings plc (company site, opens in a new tab)1+ yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement single-agent and simple multi-agent AI workflows using frameworks like LangGraph, LangChain, AutoGen, CrewAI for Traded Risk teams.
- Lead end-to-end development of Agentic AI applications including prototyping, deployment, and integration with internal risk systems.
- Build and monitor RAG pipelines and guardrails, conduct evaluation of AI agents, and collaborate with market risk SMEs to automate judgment-heavy processes.
Minimum Requirements
- Proficient in Python with API integration, async programming, and data manipulation (pandas/numpy).
- Hands-on experience with agent orchestration frameworks or LLM APIs (LangChain, LangGraph, Claude, OpenAI, Gemini).
- Foundational understanding of market risk concepts; FRM Part I/II, CQF, or equivalent certification in progress or completed.
- Work Experience Required: Interns considered with 1 year AI exposure; prior experience in regulated environments or with MCP server development preferred but not strictly mandatory.
Ideal Candidate Profile
- Experienced in technical build roles such as software engineering, data engineering, or quant development with focus on AI agent development for risk.
- Skilled at translating manual risk assessment processes into structured agentic workflows within a regulated financial environment.
- Familiar with model risk management frameworks and capable of managing AI solution auditing and compliance documentation.