**About WSD**WSD is a leading provider of SaaS-based technology solutions for manufacturers of structured products and OTC derivatives, covering all aspects of the process from pre-trade workflows to order management, document production, data dissemination to exchanges, data vendors and the buy-side, as well as lifecycle management with offices in the UK, USA, Brazil, Germany, Hong Kong and Indonesia.WSD also operates RegXchange, an industry utility connecting the sell-side and buy-side, and Transparitrade, a white-labelled client-facing structured products platform featuring comprehensive education as well as trade execution and analytical tools. WSD serves its global Tier 1 clients with a staff of almost 200 and has offices in all major time zones.**Job Purpose**This is a full-time, staff position located in Indonesia, to coordinate with other team in different countries.**Key Responsibilities**- Collaborate with cross-functional teams to identify data requirements and objectives related to structured investment products.- Develop and maintain efficient database structures for managing investment-related data.- Utilize SQL to extract vital information from extensive datasets.- Cleanse raw data to eliminate inconsistencies and errors.- Conduct data validation and quality assurance checks.- Maintain comprehensive documentation on data sources, transformation processes, and dictionaries. Stay informed about market trends and best practices within the structured products sector. -**Requirements**:- Bachelor's degree in Computer Science, Data Science, Finance, or related field. Master's degree preferred.- Minimum 1+ years of experience in Data Analysis.- Proficiency in SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server).- Solid skills in data capturing with pattern matching and regular expressions (RegEx).- Fluent in English; additional languages (especially Japanese) are beneficial.- Excellent analytical abilities and meticulous attention to detail.- Reliable with a strong work ethic.- Ability to work well both independently and within a team. Familiarity with financial concepts and investment products is preferred.