Finance Systems Specialist (12 months contract)

Asia · Hong Kong · 3-5 years experience · Remote · Posted Oct 7, 2026

At a glance

Binance is seeking a Finance Systems Specialist on a 12-month contract to own the transformation of its internal inventory system.
This is an individual contributor role at the intersection of finance operations, product management, and technology where you will act as product owner for the inventory platform.
You will drive enhancements, integrations, and data migrations end-to-end while leveraging Python, SQL, and AI-driven workflows in a self-sufficient manner.

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 and 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 such as JE generation, bank reconciliation, data extraction, reporting, and exception handling.
Build and maintain self-service tools, dashboards, and scripts including Python, SQL, Excel/VBA, and low-code platforms to enable the finance team to operate independently.
Evaluate and integrate AI/ML tools like LLMs, copilots, and RPA into day-to-day operations to reduce manual effort.
Maintain system documentation by leveraging 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.

3-5 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 including SAP, Workday, or NetSuite, including integrations or migrations.
Hands-on ability to build tools independently using Python, SQL, and/or VBA, and comfortable with low-code platforms.
Demonstrated experience using AI tools such as LLMs, copilots, and 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.

Work-from-home arrangement available, though the arrangement may vary depending on the work nature of the business team.