AI Engineer- Traded Risk (Bangalore, KA, IN, 560103)

HSBC
Bengaluru
Workplace: OnsiteContractFunction: Data Science & Machine LearningSkills: ["Collaboration","Documentation","Risk awareness","Iteration","Problem-solving"]

Design and build agentic AI workflows for traded risk, leading end-to-end development from ideation and data exploration to prototype and initial deployment. Integrate LLM agents with internal risk systems using tool calling and MCP servers, implement RAG pipelines over risk policies and incident logs, and develop prompt libraries with evaluation harnesses and guardrails. Partner with market risk SMEs, monitor production performance, and document workflows for audit and model-risk review.

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FursaFursa
HSBC
HSBC
13 hours ago

AI Engineer- Traded Risk (Bangalore, KA, IN, 560103)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Design and build agentic AI workflows for traded risk, leading end-to-end development from ideation and data exploration to prototype and initial deployment. Integrate LLM agents with internal risk systems using tool calling and MCP servers, implement RAG pipelines over risk policies and incident logs, and develop prompt libraries with evaluation harnesses and guardrails. Partner with market risk SMEs, monitor production performance, and document workflows for audit and model-risk review.
Location: Bengaluru
Workplace: Onsite
Employment Type: Contract
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement single-agent and simple multi-agent workflows using agent orchestration frameworks.
  • •Lead end-to-end development of agentic AI applications, from ideation and data exploration to rapid prototyping and initial deployment.
  • •Build tool integrations (function calling / MCP servers) connecting LLM agents to internal risk systems.
  • •Implement RAG pipelines over risk policy documents, regulatory guidance, and historical incident logs to ground outputs in verified sources.
  • •Implement evaluation harnesses and guardrails, and monitor deployed agents in production (cost, latency, failures, drift); document workflows for audit and model-risk review.

Key Requirements

  • •Working proficiency in Python, including API integration, async programming, and data manipulation (pandas/numpy).
  • •Hands-on experience building agentic applications, from personal projects, hackathons, internships, or professional work.
  • •Experience with agent orchestration frameworks (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel) or Claude/OpenAI/Gemini APIs with function calling and tool use.
  • •Practical familiarity with RAG architectures, including embeddings, vector databases (Pinecone, Weaviate, FAISS, pgvector), and chunking strategies.
  • •Foundational understanding of LLM evaluation and market risk concepts (e.g., VaR, Greeks, stress testing), gained via coursework, self-study, or prior exposure.
Experience:BankingFinancial servicesRegulated environmentAsset management
Skills:CollaborationDocumentationRisk awarenessIterationProblem-solving
Certifications:FRM Part IFRM Part IICQF
Tech Stack:PythonAPI integrationAsync programmingPandasNumpyLangGraphLangChainAutoGenCrewAISemantic KernelClaude APIOpenAI APIGemini APIFunction callingTool useMCP (Model Context Protocol)Agentic AIRAGRetrieval-augmented generationEmbeddings

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn