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Staff Data Scientist, Algorithm, Financial Markets

Airwallex· Engineering
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SG - SingaporeFull-timePosted 8mo ago

About the role

Role focused on building and deploying data science and ML models for FX pricing, execution and risk decisions within the Financial Markets team. Own modelling roadmap, productionise models, and drive data-driven trading and product decisions in Singapore.

Responsibilities

  • Own and drive the technical direction and modelling roadmap for the FX product, identifying high-impact opportunities and prioritising work in collaboration with Product Managers.
  • Develop and productionise models to forecast and monitor FX rate volatility, providing actionable insights to support trading and execution strategy.
  • Apply statistical and machine learning models to optimise FX trade execution, focusing on minimising cost, improving routing efficiency and managing market risk exposure.
  • Establish robust backtesting, validation, monitoring and governance practices for financial-market models.
  • Partner with Product Managers, Traders, Risk, Engineering and other stakeholders to translate analytical findings into trading and product decisions.
  • Define success metrics and evaluate the incremental impact of models and strategies in production.
  • Move quickly from analysis to decision-ready recommendations, communicating clearly with executives and cross-functional partners—even when the data or problem is ambiguous.
  • Conduct customer and commercial analysis where it directly informs FX strategy, pricing or product priorities.

Qualifications

  • 7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, Sciences, Computer Science or Economics.
  • Significant experience applying statistics, machine learning or optimisation to financial markets, trading, fintech or other dynamic decision systems.
  • Strong understanding of FX, execution, pricing, liquidity, market risk or related quantitative domains.
  • Expert Python skills and strong SQL skills; experience with R or other quantitative tools is a plus.
  • Strong foundations in time-series modelling, statistical inference, optimisation and experimental design.
  • Ability to do schema design and dimensional data modelling, taking models from research/prototyping into reliable production systems.
  • Proven ability to set direction, influence and communicate with senior stakeholders and deliver through cross-functional teams.

Skills

Required:PythonSQLTime-series modellingStatisticsMachine learning / optimisationProduction systemsStakeholder communication
Last updated Oct 15, 2026. Interested? Apply on the company site.
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About Airwallex

Trusted Global Payments & Financial Platform

Grow your business faster with Airwallex - global business accounts, high speed transfers, multi-currency cards, online payments, embedded finance, and more.

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