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.