Finance Systems Manager
New
B
BinanceFinTech, Blockchain
Asia / Hong KongFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 8–10 years
- Required Skills
- Project ManagementPythonSQLArtificial IntelligenceVBAMicrosoft ExcelAccounting
Requirements
- 8–10 years in FinTech, Financial Services, or fast-moving tech environments.
- Qualified accountant (CPA, CA, ACCA, or equivalent) with multi-currency accounting experience.
- Hands-on ERP experience (SAP, Workday, NetSuite) including integrations or migrations.
- Proven UAT leadership for finance or enterprise systems.
- Hands-on ability to build tools independently — Python, SQL, and/or VBA; comfortable with low-code platforms.
- Demonstrated experience using AI tools (LLMs, copilots, RPA) to automate analysis, documentation, testing, or workflows.
- Strong Excel skills for large-dataset reconciliation and data validation.
- Self-starter comfortable operating autonomously in ambiguous, resource-constrained environments.
- Strong stakeholder management across operators and senior leadership.
- Passion for crypto and blockchain technology.
Responsibilities
- Own the inventory system roadmap: plan enhancements, draft BRDs/PRDs, and lead end-to-end delivery from design through UAT to release.
- Lead UAT cycles: define test plans, execute QA, and sign off before deployment.
- Troubleshoot system issues — build self-service diagnostic scripts where possible rather than relying on engineering.
- Drive ERP integration and build automated data pipelines when engineering support is unavailable.
- Plan and execute data migrations with scripting and AI-assisted tooling for validation and reconciliation.
- Identify, design, and implement automation and AI-driven workflows across finance operations.
- Build and maintain self-service tools, dashboards, and scripts (Python, SQL, Excel/VBA, low-code platforms) to enable the finance team to operate independently.
- Evaluate and integrate AI/ML tools (LLMs, copilots, RPA) into day-to-day operations to reduce manual effort.
- Maintain system documentation — leverage AI to keep BRDs, runbooks, and user guides current.
- Support ad-hoc finance transformation initiatives with a bias toward scalable, repeatable solutions over one-off manual work.
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