Financial Data Analyst (Wealth Tech)

Canopy; Malaysia; On-site; MYR 50,000 - 84,000; Full time

Job summary

Canopy in Malaysia is seeking a Data Operations Analyst to manage data operations across financial and investment datasets, ensuring accuracy, integrity, and security while delivering reliable reporting to stakeholders. You will work on data management and processing, product improvements, and cross-functional collaboration to streamline reconciliation, improve tools, and safeguard sensitive information.

Fresh graduates welcomed; strong Excel required; Python/SQL plus; experience with

Qualifications

• Bachelor's degree in Finance, Accounting, Information Systems, or a related field; Fresh Graduates are welcome to apply.
• Advanced proficiency in Microsoft Excel is a must, proficiency in Python, SQL is a bonus
• Strong analytical skills and problem-solving skills

Responsibilities

• Manage data extraction and aggregation of complex investment portfolio data using our proprietary aggregation software.
• Perform reconciliation of trading history and end-of-day holdings data; identify account discrepancies and propose solutions.
• Collaborate with Sales, Client Success & Product teams to resolve data-related questions and improve data processes.

Skills

Excel

Python

SQL

Financial analysis

Education

Bachelor's degree in Finance, Accounting, Information Systems, or a related field

Tools

Tableau

Trifacta

Job description

The Data Operations Analyst manages all aspects of data operations within the team, ensuring the accuracy, integrity, and security of financial and investment data. This role provides reliable reporting to stakeholders and requires strong technical skills, attention to detail, and collaborative abilities.

Data Management and Processing

• Ensure the accuracy, completeness, and consistency of data extraction and aggregation of complex investment portfolio data using our proprietary aggregation software
• Identify, investigate and resolve aggregated data for inconsistencies and errors across all balances
• Dig deeply into trading history and end of day holdings data to perform reconciliation, identify account discrepancies, and find potential solutions
• Review recon output and ensure timely identification and escalation of aging exceptions

Product and Process development

• Actively contribute to the enhancement of internal systems to drive efficiency, accuracy, and timeliness of data aggregation
• Help build tools and processes to improve and scale the data reconciliation competency
• Work with the product team on new features to understand cost and process impacts
• Ensure the security and privacy of sensitive data in compliance with regulatory requirements

Collaboration and Communication

• Act as escalation point for queries from Sales, Client Success & Product team to resolve clients' 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

Requirements

• Bachelor's degree in Finance, Accounting, Information Systems, or a related field, Fresh Graduates are welcome to apply
• Advanced proficiency in Microsoft Excel is a must, proficiency in Python, SQL is a bonus
• Strong analytical skills and problem-solving skills
• Understanding of financial instruments across asset classes
• A willingness to work with large data sets, approaches it as if it's a fun puzzle to solve
• 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
• Experience with Tableau, Trifacta, or other data wrangling tools is highly preferred