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Engineering Lead, Regulatory Reporting

Airwallex Singapore, Singapore
Full-time On-site work

Publication date: 30/08/2026

As an Engineering Lead you own both the technical direction and the day-to-day execution of the regulatory reporting engineering function. You lead a team of backend and frontend engineers, define the architecture, and act as the primary technical partner to Compliance, Legal, and Finance stakeholders.

Responsibilities

Define and drive the technical roadmap for regulatory reporting automation across all licensed entities and jurisdictions; Lead architecture decisions across data pipelines, submission tooling, and AI-assisted compliance workflows; Manage and grow a team of 4–8 engineers and provide technical mentorship, conduct code and design reviews, and set engineering standards; Own delivery of regulatory reporting milestones ensuring reports are accurate, on time, and auditable; Act as the primary engineering point of contact for Compliance, Legal, and Finance and translate regulatory requirements into technical specifications; Drive adoption of AI/LLM tooling to automate repetitive review, gap analysis, and interpretation tasks; Define and uphold data quality, testing, and reconciliation standards across all reporting models; Partner with the broader Core Banking engineering organisation on shared data platform capabilities

Requirements

5+ years of software engineering experience, including 2+ years in a lead or staff engineer role; Strong backend engineering foundation in Python, Kotlin, or Java and comfortable with SQL at scale; Proven track record leading delivery of complex, multi-stakeholder technical programmes; Demonstrated ability to translate ambiguous regulatory or compliance requirements into clear engineering designs; Excellent written and verbal communication and comfortable representing engineering to non-technical stakeholders

Nice to have

Experience in financial services, regulatory technology, or compliance automation; Hands-on with dbt, Databricks, Spark, or BigQuery in a production analytics engineering context; Familiarity with LLM/agent frameworks (RAG, tool-use, evaluation pipelines) for document-heavy domains; Experience operating in a multi-jurisdiction, multi-entity environment; Track record building robust reconciliation and data quality frameworks for financial reporting
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