Be the go-to data partner for regional executives
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. In some cases building MVPs, and in others, fully fleshed out solutions.
Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking.

Requirements

7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Excellent communication skills, ideally 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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

causal inference methodsforecastingdata querying languagesSQLPythonRdata architecture technologiesAirflowDatabricksdbt

Soft Skills

communication skillsmentoringtechnical excellenceproactive critical thinking

Certifications

PhDMS