- Location
- Ho Chi Minh City
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Operations
- Seniority
- Entry
- Source
- Pinpoint
Description
Associate Data Operations Analyst
Department: Client Experience
Employment Type: Permanent - Full Time
Location: Ho Chi Minh City
Reporting To: Tuyen Lam
Description
Hybrid: 2 days per week in the office
Hours: 11:00 - 20:00 Monday to Friday
At Confluence, we're building the future of investment data through innovation, collaboration and continuous improvement. As AI reshapes the financial services industry, we're embracing new technologies while continuing to build on the deep industry expertise and trusted partnerships that have defined our success for decades.
More about the role & team
- Microsoft Excel
- Microsoft Office
- SQL
- VBA Macros
- Python
- Internal systems and proprietary company software
- Process, reconcile, cleanse and verify client data, including updating mapping tables and working files.
- Monitor internal tools, data traffic and filing schedules, following up on delayed data submissions where required.
- Analyse data, investigate business and client queries, and resolve or escalate inconsistencies.
- Create and load filings, perform calculations, and complete validation and quality checks on deliverables.
- Produce reports, maintain process documentation and capture operational changes.
- Collaborate with global colleagues to improve processes and introduce appropriate checks and controls.
- Work primarily remotely while being based in Ho Chi Minh City.
- Follow a clear progression path from Associate to Intermediate and Senior levels.
- Gain exposure to financial data operations, regulatory filings and client communication.
- Learn from experienced colleagues, analysts and specialist review teams.
- Combine structured operational delivery with data investigation, problem-solving and process improvement.
What skills and experience do I need to succeed?
- A relevant bachelor’s degree, ideally in finance or a related discipline.
- At least two years’ experience in a similar data processing or operational data role.
- Strong Excel skills.
- Basic SQL knowledge, including the ability to read and understand queries.
- Experience with data reconciliation, verification, transformation or mapping.
- Strong attention to detail and a well-organised approach to work.
- Ability to manage deadlines and multiple priorities with limited supervision after onboarding.
- Clear communication skills and the confidence to work with colleagues, stakeholders and clients.
- Experience in financial services, investment services or SaaS.
- Exposure to regulatory reporting, compliance operations or filing activities.
- Experience with VBA Macros for process improvement or automation.
- Knowledge of Python.
- Experience supporting recurring client deliverables or working with large volumes of data.
What do we offer?
AI Use In Interviews
The interview is designed to assess your own experience, thought process and communication skills. If AI use is permitted as part of an exercise, we will clearly explain this beforehand.
Pre-Employment Screening Disclaimer
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.