обновлено 1 месяц назад
Staff Data Scientist, Algorithm, Financial Markets (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Staff Data Scientist, Algorithm, Financial Markets (Fintech): Building data science capabilities, forecasting models, and decision systems for FX pricing, execution, and risk with an accent on statistical modelling, machine learning, and financial-market rigor. Focus on optimising trade execution, designing backtesting and governance systems, and turning ambiguous analysis into reliable production decisions.
Location: Singapore office, five days a week
Company
Airwallex provides AI-native financial infrastructure for global payments, financial operations, and embedded financial products.
What you will do
- Own the technical direction and modelling roadmap for the FX product.
- Develop and productionise models for FX rate volatility forecasting and monitoring.
- Apply statistical and machine learning models to optimise trade execution, routing efficiency, and market-risk management.
- Build backtesting, validation, monitoring, and governance practices for financial-market models.
- Partner with Product, Trading, Risk, Engineering, and executive stakeholders to turn analysis into product and trading decisions.
- Define success metrics, measure incremental production impact, and conduct customer and commercial analysis for FX strategy.
Requirements
- 7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field.
- Significant experience applying statistics, machine learning, or optimisation to financial markets, trading, fintech, or dynamic decision systems.
- Strong knowledge of FX, execution, pricing, liquidity, market risk, or related quantitative domains.
- Expert Python and strong SQL skills, with foundations in time-series modelling, statistical inference, optimisation, and experimental design.
- Experience with schema design, dimensional data modelling, and moving research or prototypes into reliable production systems.
- Ability to set direction, influence senior stakeholders, and deliver through cross-functional teams.
Nice to have
- Experience with R or other quantitative tools.
- Background in technology, financial services, trading, or a high-growth environment.
Culture & Benefits
- Work in a data science organisation focused on scalable systems of decision and action.
- Build AI analytics infrastructure including semantic layers, context retrieval, evaluation, validation gates, and governance.
- Develop intelligent systems for product behaviour, ranking, pricing, risk, allocation, and customer experiences.
- Operate with ownership, scientific rigor, first-principles thinking, and comfort with ambiguity.
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