HSBC

3 days ago

Sr. Associate Director, Data and Analytics Specialist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead HSBC’s enterprise AI Safety & Evaluation capability aligned to Group AI strategy and Responsible AI goals. Build and run scalable AI safety testing (e.g., red teaming, simulation, automated evaluations) and challenge guardrails, including GenAI security risks like prompt injection and RAG poisoning. Translate technical results into decision-ready risk assessments for governance and audit, embed evaluation into LLMOps/CI-CD release gates, and provide senior SME leadership across AI, Risk, and Cyber teams.

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Director level

Key Responsibilities

•Lead delivery of HSBC’s enterprise AI Safety & Evaluation capability aligned to Group AI strategy and Responsible AI goals.
•Build and run scalable AI safety testing (e.g., orange teaming, simulation, automated evals) and challenge guardrails alongside Cyber and Model Risk Management testing.
•Translate technical findings into decision-ready business risk assessments and evidence for governance, approvals, and audit.
•Test end-to-end solution controls, including human-in-the-loop, monitoring, escalation, and fallback/kill-switch, plus GenAI security risks.
•Define risk-tiered metrics and embed evaluation into LLMOps/CI/CD as release gates with traceable reporting; provide senior SME leadership across CAIO, Risk, Cyber, and AI teams.

Key Requirements

•Hands-on AI/ML engineering experience, including GenAI/LLMs and deployment patterns such as APIs, pipelines, and MLOps/LLMOps.
•Embed guardrails and safety controls throughout model build and release lifecycles.
•Practical experience evaluating models for performance, bias/fairness, explainability, and robustness.
•Proven AI safety testing capability (e.g., red teaming, adversarial testing, scenario-based evaluation).
•Understand AI cyber threats (prompt injection, data leakage, adversarial attacks) and threat modelling; able to partner with Cyber teams to run threat-led testing.

Experience:AI/MLGenAILLMOpsMLOps

Skills:GovernanceRisk assessmentPartnershipSME leadership

Certifications:NIST AI RMFISO/IEC 42001MAESTRO

Tech Stack:AI/MLGenAILLMsAPIsPipelinesMLOpsLLMOpsCI/CDThreat modellingRed teamingScenario-based evaluation

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: 3.6

Website LinkedIn

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HSBC

3 days ago

Sr. Associate Director, Data and Analytics Specialist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Director level

Key Responsibilities

•Lead delivery of HSBC’s enterprise AI Safety & Evaluation capability aligned to Group AI strategy and Responsible AI goals.
•Build and run scalable AI safety testing (e.g., orange teaming, simulation, automated evals) and challenge guardrails alongside Cyber and Model Risk Management testing.
•Translate technical findings into decision-ready business risk assessments and evidence for governance, approvals, and audit.
•Test end-to-end solution controls, including human-in-the-loop, monitoring, escalation, and fallback/kill-switch, plus GenAI security risks.
•Define risk-tiered metrics and embed evaluation into LLMOps/CI/CD as release gates with traceable reporting; provide senior SME leadership across CAIO, Risk, Cyber, and AI teams.

Key Requirements

•Hands-on AI/ML engineering experience, including GenAI/LLMs and deployment patterns such as APIs, pipelines, and MLOps/LLMOps.
•Embed guardrails and safety controls throughout model build and release lifecycles.
•Practical experience evaluating models for performance, bias/fairness, explainability, and robustness.
•Proven AI safety testing capability (e.g., red teaming, adversarial testing, scenario-based evaluation).
•Understand AI cyber threats (prompt injection, data leakage, adversarial attacks) and threat modelling; able to partner with Cyber teams to run threat-led testing.

Experience:AI/MLGenAILLMOpsMLOps

Skills:GovernanceRisk assessmentPartnershipSME leadership

Certifications:NIST AI RMFISO/IEC 42001MAESTRO

Tech Stack:AI/MLGenAILLMsAPIsPipelinesMLOpsLLMOpsCI/CDThreat modellingRed teamingScenario-based evaluation

Company Brief

HSBC

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: 3.6

Website LinkedIn