Financial Data Analyst (Wealth Tech)

Singapore. Malaysia. Vietnam. Indonesia. PhilippinesFull-TimeEntry

Salary not disclosed

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Job Details

Bachelor’s degree in Finance, Accounting, Information Systems, or a related field.
Advanced proficiency in Microsoft Excel is a must.
Proficiency in Python and SQL is a bonus.
Experience with Tableau, Trifacta, or other data wrangling tools is highly preferred.
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 in seeking workflow improvements.
Fresh graduates are welcome to apply.

Ensure accuracy, completeness, and consistency of data extraction and aggregation of complex investment portfolio data using proprietary aggregation software.
Identify, investigate, and resolve aggregated data inconsistencies and errors across all balances.
Perform reconciliation on trading history and end-of-day holdings data to identify account discrepancies.
Review reconciliation output and ensure timely identification and escalation of aging exceptions.
Contribute to the enhancement of internal systems to drive efficiency, accuracy, and timeliness of data aggregation.
Build tools and processes to improve and scale the data reconciliation competency.
Collaborate with the product team on new features to understand cost and process impacts.
Act as an escalation point for queries from Sales, Client Success, and Product teams to resolve client data-related questions.
Liaise with custodian representatives to address gaps found in financial data sources.
Provide training and support to staff on data-related processes and systems.

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