Financial Data Analyst – Wealth Tech
Posted 7hrs ago
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Financial data analyst managing investment and portfolio data operations for a wealth technology platform. Reconciling holdings, improving aggregation systems, and supporting stakeholders across eligible Southeast Asian markets.
Responsibilities:
- Ensure the accuracy, completeness, and consistency of data extraction and aggregation of complex investment portfolio data using proprietary aggregation software
- Investigate and resolve aggregated data inconsistencies and errors across balances
- Reconcile trading history and end-of-day holdings data, identify account discrepancies, and find potential solutions
- Review reconciliation output and escalate aging exceptions in a timely manner
- Contribute to enhancements of internal systems for more efficient, accurate, and timely data aggregation
- Build tools and processes to improve and scale data reconciliation
- Collaborate with the product team on new features, including cost and process impacts
- Ensure security and privacy of sensitive data in compliance with regulatory requirements
- Serve as an escalation point for Sales, Client Success, and Product teams on client data-related questions
- Liaise with custodian representatives to address gaps in financial data sources
- Provide training and support to staff on data-related processes and systems
Requirements:
- Bachelor’s degree in Finance, Accounting, Information Systems, or a related field
- Fresh graduates are welcome to apply
- Advanced proficiency in Microsoft Excel
- Proficiency in Python and SQL is a bonus
- Strong analytical and problem-solving skills
- Understanding of financial instruments across asset classes
- Willingness to work with large data sets
- Meticulous attention to detail and ability to work under pressure
- Strong communication and interpersonal skills
- Ability to work independently and as part of a team
- Proactive approach to workflow improvements
- Experience with Tableau, Trifacta, or other data wrangling tools is highly preferred












