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The Strategic Data Science team provides Airwallex’s Leadership with the data, tooling, and insights needed to amplify Airwallex’s rapid growth. We partner across the entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech.
Job Responsibility:
Be the go-to data partner for the CEO and Regional Business Leads
Use causal inference methods to understand how macroeconomic events impact the business
Leverage AI to generate insights and improve business and team efficiency
Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts
Scope and build data products
Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking
Requirements:
7+ years industry experience
Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Excellent communication skills with a proven track record of working directly with executive-level stakeholders to influence strategy
Expertise in causal inference methods and forecasting
Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R)
Experience with data architecture technologies such as Airflow, Databricks, and dbt
Nice to have:
Experience in technology, financial services and/or a high growth environment
Experience with Excel and Finance systems (e.g. Oracle)