10 часов назад
Senior Data Scientist (Commodity Trading)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Commodity Trading): Developing predictive and machine-learning-driven models for trading decisions, margin performance, and risk management with an accent on commodity-market analysis, forecasting, and end-to-end solution delivery. Focus on designing time-series models, framing business problems, building prototypes and MVPs, and translating analytical results into actionable outcomes.
Location: Duo Tower, Singapore. The selected candidate will work in Singapore under the local payroll system and benefits. Relocation will not be considered within parameters.
Company
's Supply & Trading organization applies advanced analytics, AI, and data science to improve trading decisions, margin performance, and risk management.
What you will do
- Develop complex analytical models focused on commodity trading, including price and fundamentals forecasting.
- Apply predictive modeling, machine learning, forecasting, and time-series analysis to trading problems.
- Engage with business stakeholders to frame problems, gather requirements, and build domain knowledge.
- Deliver prototypes, proofs of concept, MVPs, and functional enhancements from concept through implementation.
- Own selected non-data-science components of solutions and coordinate cross-disciplinary delivery teams when required.
- Translate analytical concepts into actionable outcomes for business and IT audiences.
Requirements
- Master's degree in a quantitative discipline such as optimization, statistics, mathematics, or engineering.
- At least 5 years of data science modeling experience in the trading domain.
- Strong understanding of commodity markets, including supply-demand balances, trade flows, and market arbitrage.
- Experience with feature engineering, data cleaning, data quality management, and statistical and quantitative modeling.
- Strong Python and SQL coding skills.
- Ability to work independently, communicate with non-technical stakeholders, package requirements for technical resources, and mentor junior data scientists and commercial analysts.
Nice to have
- PhD or higher in a relevant quantitative discipline.
- Knowledge of Generative AI or Agentic AI.
- Experience with DataRobot, Databricks, Power BI, Azure Machine Learning, Azure cloud tools, or Azure DevOps.
- Experience with Agile or SAFe practices.
Culture & Benefits
- Work in a dynamic, fast-paced environment with changing priorities.
- Collaborate across business, IT, data science, and commercial disciplines.
- Employment is under Singapore's local payroll system and benefits.
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