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Senior Data Scientist role within the Engineering/Data Science department at Airwallex, focusing on Algorithm development for Financial Markets. The role involves collaborating with cross-functional partners to tackle complex data problems and shape the future of fintech.
Job Responsibility:
Effectively manage Airwallex’s risk portfolio, delivering actionable insights to shape our overall risk strategy within financial markets
Apply statistical and/or machine learning models to estimate financial markets risk exposures (including FX, credit, capital, and other product risks), and optimize market forecasting, order routing, fund efficiency, and pricing decisions
Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders to deliver data-driven recommendations that support commercial and operational objectives
Clearly present analytical results and insights to cross-functional teams to influence business strategies and decision-making
Requirements:
5+ years industry experience
Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Strong understanding of financial markets, foreign exchange, and/or dynamic trading systems is a plus
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions
Nice to have:
Experience in technology, financial services, trading environment and/or a high growth environment is advantageous
Experience in schema design and dimensional data modeling a plus