5 months ago
Hong Kong, Hong Kong or Singapore, SingaporeStaff+
Responsibilities
- Own Finance data architecture from ODS ingestion through CDM transformation and reporting marts, including documented lineage.
- Define Finance data modeling standards covering cut-off immutability, multi-entity consolidation, revenue recognition, and audit trails.
- Lead scalable pipelines for trading data, asset positions, P&L, and cost accounting across multiple legal entities and jurisdictions.
- Partner with Accounting, Finance, Treasury, and Finance PMO stakeholders on month-end close, statutory reporting, board-level financials, and regulatory reporting.
- Ensure financial figures are traceable to source systems with complete transformation history.
- Design proactive data quality controls, reconciliation logic, SLA monitoring, and anomaly detection within production pipelines.
- Own incident response for Finance-critical pipeline failures, conduct post-mortems, and drive permanent fixes.
- Lead production adoption of LLM-assisted development, automated anomaly detection, intelligent reconciliation, and AI-generated reporting summaries.
- Serve as the Finance Data escalation point and technical representative in architecture discussions, planning, and stakeholder reviews.
- Mentor engineers, document domain knowledge, and establish technical standards for the Finance data team.
Requirements
- 6+ years of data engineering experience, including at least 3 years owning a Finance, Accounting, or financial reporting data domain end-to-end.
- Deep knowledge of period close and cut-off rules, revenue recognition, multi-entity consolidation, reconciliation, and audit trail requirements.
- Experience building financial data systems reviewed during a statutory audit or regulatory review.
- Strong SQL and Python skills with experience designing and maintaining complex production pipelines at scale.
- Experience designing immutable, traceable data systems that can be rolled back and re-run without manual intervention.
- Ability to operate autonomously, define requirements from ambiguous stakeholder input, and make independent architectural decisions.
- Preferred: experience in crypto exchange, fintech, IPO preparation, or public-company financial reporting.
- Preferred: familiarity with regulatory reporting requirements across jurisdictions, including MAS SG, SEC, or FCA.
- Preferred: production experience applying AI or LLM tooling to data engineering workflows.
- Preferred: experience with Spark, Airflow, or equivalent orchestration at scale.
- Preferred: experience as a de facto domain lead or technical lead without a formal people-management title.
- Preferred: experience partnering technically with Accounting or Controllership teams.
Benefits
- Competitive total compensation package.
- Learning and development programs and an education subsidy.
- Team-building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependants.
Tech Stack
Categories
Data Engineering
About OKX
OKX builds a global cryptocurrency exchange and Web3 wallet used by retail and institutional traders for spot, derivatives, and DeFi access, with developer APIs. Its business model centers on trading and financing fees, plus wallet and on-chain services. Founded in 2017 and privately held, OKX publishes monthly proof-of-reserves and operates as part of the OKG group serving crypto markets worldwide.