Director, AI Capability Implementation Lead (Fraud & Credit)

HSBC
Bengaluru
Workplace: OnsiteFull timeFunction: Banking, Lending & CreditSkills: ["Communication","Analytical skills","Cross-functional leadership","Stakeholder management"]

Lead the transformation of HSBC’s fraud and credit risk capabilities by shaping and delivering an AI-enabled decision intelligence platform. You’ll partner with business and technology teams to define the future state, drive a sequenced 24‑month roadmap, and guide investment prioritization across a multi-year GenAI and MLOps program. The role focuses on real-time, governed AI that improves customer protection with minimal friction in a regulated global bank.

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FursaFursa
HSBC
HSBC
3 days ago

Director, AI Capability Implementation Lead (Fraud & Credit)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead the transformation of HSBC’s fraud and credit risk capabilities by shaping and delivering an AI-enabled decision intelligence platform. You’ll partner with business and technology teams to define the future state, drive a sequenced 24‑month roadmap, and guide investment prioritization across a multi-year GenAI and MLOps program. The role focuses on real-time, governed AI that improves customer protection with minimal friction in a regulated global bank.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Banking, Lending & Credit
Seniority: Director level

Key Responsibilities

  • •Leverage transformer-based ML, graph intelligence, agentic feature discovery, continuous learning, and modern MLOps to define the future-state decision intelligence capability for fraud and credit risk.
  • •Create a dynamic customer intelligence layer for continuous risk assessment using ML and GenAI components such as transformer-based architectures and vector database concepts.
  • •Build and drive a sequenced 24-month roadmap with milestones, dependencies, and measurable business outcomes.
  • •Shape investment choices and prioritisation across a transformation portfolio with anticipated spend of >USD 100m over two years.
  • •Partner with Business and Product teams and Technology to translate fraud and credit management requirements into the right technical patterns.

Key Requirements

  • •Technical fluency in applied machine learning techniques, including transformer-based MLOps and GenAI patterns.
  • •Fraud/credit domain experience is advantageous, with strong technical leadership and ability to learn quickly with SME partners.
  • •Demonstrated ability to shape target state, secure decisions, and deliver via global matrix leadership across Technology, Data, Operations, and Risk.
  • •Strong technical depth in streaming/event architectures, entity/graph intelligence, and modern ML (e.g., GBMs + deep learning).
  • •Experience applying governed GenAI and agentic AI patterns (grounding, permissions, failure modes, and auditability).
Experience:Fraud riskCredit riskDecision intelligenceGenAIMachine learningMLOps
Skills:CommunicationAnalytical skillsCross-functional leadershipStakeholder management
Tech Stack:Transformer-based MLGenAIAgentic feature discoveryMLOpsGraph intelligenceVector databaseStreaming/event architecturesEntity/graph intelligenceGBMsDeep learningGroundingPermissionsAuditability

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