Title: CRM Data Analytics (3 headcounts) Duration: 12 months Salary: HKD50,000 per month (depending on experience) We're looking for an experienced analytics professional with a strong AI/ML mindset to drive operational analytics across key risk areas (Fraud, Collections, Underwriting and KYC Operations). You'll turn complex business problems into data-driven solutions, partner closely with stakeholders across the bank, and ensure analytics outputs are delivered to a high standard and adopted effectively.
Principal Responsibilities: - Analyse large volumes of structured and unstructured data to generate insights and recommendations across risk and operations (Fraud, Collections, Underwriting, KYC).
- Apply advanced statistical techniques, predictive modelling and AI/ML methods to develop practical, scalable solutions.
- Proactively identify emerging business issues and priorities, and translate them into analytics use cases with clear methodology and measurable outcomes.
- Manage end-to-end delivery of analytics initiatives, including solution design, validation, performance tracking and impact assessment.
- Deliver high-quality outputs on time in a fast-changing environment, balancing rigour with pace.
- Collaborate with business, operations and technology teams to implement analytics/AI solutions and define performance measurement frameworks.
- Share knowledge and best practices, contributing to a collaborative, inclusive and supportive team culture.
Requirements: - University degree (or above) in Statistics, Mathematics, Computer Science, Data/Information Management, or a related discipline.
- At least 6 years' experience in retail banking analytics, including modelling and AI/ML.
- Strong track record of extracting insights from large datasets and applying machine learning/AI techniques effectively.
- Hands-on experience with Python, SQL/BigQuery, and visualisation tools (Tableau or QlikSense); experience working in Google Cloud Platform (GCP) is required.
- Experience in risk-related domains (e.g., Fraud, Collections, Underwriting, KYC) is an advantage.
- Strong communication skills with the ability to explain complex analysis clearly to varied audiences and influence decisions.
- Proven ability to work effectively across business, operations and technology stakeholders.
- High ownership mindset and strong service orientation, focused on improving customer communication and service delivery.
