Data Analytics MGR/FS/12 months/35,000-50,000HKD P/M

Title: Manager – Data Analytics (Retail Banking)

Location: Hong Kong

Employment Type: 12 months contract (long-term project)

Industry: Tier-1 Financial Services

Role Overview

A leading retail banking institution in Hong Kong is seeking a Manager – Data & Analytics to drive high-impact analytics across key operational risk functions, including Fraud, Collections, Underwriting, and KYC.

Key Responsibilities

• Analyze large-scale structured and unstructured datasets to identify operational friction points across lending products, credit operations, and risk management.
• Partner directly with business stakeholders to convert complex operational problems into actionable, data-driven solutions and executive-level reporting.
• Apply predictive modeling and introduce AI/ML concepts to streamline operations and enhance risk detection frameworks.
• Design, validate, and track end-to-end business intelligence dashboards and predictive models within a Cloud environment.
• Collaborate cross-functionally across business, operations, and IT teams to ensure seamless data adoption.

Requirements

• Experience: 5–8+ years of hands-on experience in Data Analytics, Business Intelligence, or Operational Analytics within Retail Banking or Consumer Financial Services.
• Technical Skills: Hands-on proficiency in Python and SQL; experience with visualization tools (Tableau/Qlik) and modern Cloud environments (GCP preferred).
• AI/ML Orientation: Strong functional understanding of how AI/ML methods can enhance traditional data analytics frameworks (hands-on AI development experience is not required).
• Domain Focus: Prior experience analyzing lending products or operational risk domain data (Fraud, Collections, Underwriting, or KYC/AML) is highly desirable.
• Communication: Exceptional stakeholder management and business storytelling skills in English and Cantonese(Mandarin is a plus).

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.