Financial Data Analyst (Wealth Tech)

Canopy; Singapore; On-site; SGD 55,000 - 85,000; Full time

Job summary

Canopy is seeking a Data Operations Analyst to manage data operations for investment portfolios, ensuring accuracy, integrity, and security of financial data.

You will extract, aggregate, and reconcile portfolio data, collaborate with Sales, Client Success and Product, and drive process improvements while maintaining regulatory compliance.

Strong Excel, Python/SQL, and data-wrangling tools like Tableau or Trifacta are preferred; fresh graduates welcome.

Qualifications

• Bachelor’s degree in Finance, Accounting, Information Systems, or related field.
• Advanced proficiency in Microsoft Excel; Python and SQL a bonus.
• Strong analytical and problem-solving abilities.
• Understanding of financial instruments across asset classes.
• Willingness to work with large data sets and approach as 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 preferred.

Responsibilities

• Manage data extraction, aggregation, and quality checks for complex portfolio data.
• Reconcile trading history and end-of-day holdings; identify discrepancies and solutions.
• Review reconciliation outputs and escalate aging exceptions.
• Contribute to tools and processes to scale data reconciliation.
• Work with product on new features and assess cost/impact.
• Ensure data security and regulatory privacy compliance.

Skills

Excel

Python

SQL

Analytical skills

Problem solving

Communication

Teamwork

Independent work

Proactive

Tableau

Trifacta

Data wrangling tools

Education

Bachelor’s degree

Tools

Tableau

Trifacta

Proprietary aggregation software

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