Data Analyst

Role Overview We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The role will focus on analyzing large datasets, generating actionable insights, and supporting strategic decision-making. The ideal candidate will have strong data management skills, financial domain knowledge (preferably in Regulatory Reporting, Risk, and Compliance for corporate banking products), and the ability to communicate findings in a clear, business-oriented manner. Key Responsibilities Collect, clean, and validate data from multiple banking systems (loan management, treasury, trade finance, payments). Perform quantitative and qualitative analysis on corporate banking portfolios (lending, deposits, trade finance, treasury products). Work with stakeholders to identify business needs and translate them into data-driven solutions. Conduct trend, variance, and scenario analysis to support pricing, profitability, and client segmentation. Ensure compliance with data governance, risk, compliance, and regulatory reporting standards (e.g., Basel III/IV, MAS, HKMA, IFRS9, BCBS 239) . Partner with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases. Required Skills & Qualifications Bachelor's degree in Data Science, Statistics, Economics, Finance, Computer Science, or a related field. 2–5 years of experience as a Data Analyst, ideally within banking or financial services. Familiarity with statistical analysis tools (Python, R). Good understanding of corporate banking products (loans, deposits, trade finance, treasury, payments). Strong knowledge of risk and regulatory frameworks including: Basel III/IV capital & liquidity reporting IFRS9 credit risk modeling BCBS 239 data aggregation principles AML/KYC data management compliance Local regulatory standards (e.g., MAS, HKMA, RBI, APRA)Strong analytical, problem-solving, and critical-thinking skills. Excellent communication skills to translate technical data into business insights. Preferred Attributes Experience in regulatory reporting platforms (AxiomSL, Wolters Kluwer, Moody's Risk Authority, SAS Regulatory Reporting). Experience in data warehousing, ETL, or big data platforms (Snowflake, Hadoop, Spark). Exposure to machine learning techniques for credit/risk scoring or client segmentation. Strong business acumen with an ability to connect data insights to revenue, cost, and risk drivers. Ability to work in cross-functional teams within a fast-paced banking environment. Knowledge and Attributes Advanced proficiency in maintaining automation systems and / or applications. Advanced analytical and problem-solving skills to identify, diagnose, and resolve complex technical issues. Applies advanced logical thinking and troubleshooting methodologies to isolate problems and implement effective solutions. Advanced knowledge and understanding of relevant technologies, systems, and tools. Ability to stay updated with emerging technologies, industry trends, and best practices to provide expert advice and recommendations. Excellent communication skills to effectively interact with technical and non-technical stakeholders Ability to translate complex technical concepts into clear and understandable language. Collaborates and work effectively with cross-functional teams to address technical challenges and achieve project goals. Project management skills to contribute to technology projects, including planning, coordination, and tracking of tasks and deliverables. Demonstrate a commitment to continuous learning and professional development in the ever-evolving field of technology. Advanced technical skills, such as programming languages, database management, system architecture, and IT infrastructure knowledge. Academic Qualifications and Certifications Bachelor's degree or equivalent in Information Technology, Computer Science, or a related field. Relevant certifications Required experience Advanced experience in progressively responsible technical roles, demonstrating advanced technical expertise and leadership capabilities. Advanced experience working with complex systems end to end. Advanced experience documenting IT processes and procedures. #J-18808-Ljbffr