AI Transformation Lead: Risk & Data Analytics

Randstad Hong Kong Limited; Hong Kong; On-site; HKD 900,000 - 1,400,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Randstad Hong Kong Limited is seeking an experienced AI/GenAI Risk Product Manager/Business Analyst to drive end-to-end risk projects. You will bridge Risk leadership with Data Science and Cloud Engineering, evaluating use cases for feasibility, costs, and ROI while leading discovery workshops and PoCs.

The role requires 8+ years in financial services risk, strong Python/SQL data skills, and proficiency with AWS, Azure or GCP.

Qualifications

• 8+ years in Financial Services risk analytics, with agile delivery experience.
• Strong data exploration with Python and SQL in project contexts.
• Experience with AI/GenAI risk use cases and PoCs.

Responsibilities

• Drive end-to-end delivery of AI/LLM risk projects, bridging Risk leadership, Data Science and Cloud Engineering.
• Evaluate AI/LLM use cases for feasibility, compute costs, ROI and resources.
• Lead workshops to identify GenAI/ML opportunities for process optimization and automation.
• Manage backlogs, map user journeys, and write granular technical user stories with acceptance criteria.
• Oversee PoC activities, validate model performance, and present results to executives.
• Build business cases, define benefits realization frameworks, and track KPIs.
• Collaborate with AI and data teams to run prototype data queries in Python and SQL.
• Document regulatory governance and audit trails for enterprise AI adoption.
• Support migration, testing, and deployment of risk analytics models on Cloud platforms.

Skills

Agile project management

Backlog prioritization

User story creation

Python

SQL

GenAI / ML

Cloud platforms (AWS/Azure/GCP)

Stakeholder management

Education

Bachelor's or Master's in CS / Quant / Data Science

Tools

AWS

Azure

GCP

Job description

Randstad Hong Kong Limited is seeking an experienced AI/GenAI Risk Product Manager/Business Analyst to drive end-to-end risk projects. You will bridge Risk leadership with Data Science and Cloud Engineering, evaluating use cases for feasibility, costs, and ROI while leading discovery workshops and PoCs.

The role requires 8+ years in financial services risk, strong Python/SQL data skills, and proficiency with AWS, Azure or GCP.