锦鲤求职岗位描述
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. 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.