Be the go-to data partner for the Head of AMER
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.

causal inference methodsforecastingdata querying languagesSQLPythonRdata architecture technologiesAirflowDatabricksdbt

communication skillsmentoringtechnical excellenceproactive critical thinking

PhDMS