For Data Engineers working in commodities who are keen to build high-performance data systems at a global top-tier systematic market maker.
Hyphen is working with a leading global quantitative trading firm looking to hire a commodities-focusedData Engineer to build production-grade data systems that turn complex, external commodity datasets into production-grade research inputs that drive PnL.
The Opportunity:
- Designing ingestion frameworks for alternative and market-adjacent commodities data (weather, freight, satellite, regulatory, demand, surveys, etc.)
- Building fast-turnaround research pipelines so new datasets can be evaluated in days, not months
- Architecting storage models that allow rapid hypothesis testing without breaking production integrity
- Working shoulder-to-shoulder with traders to reduce data friction in signal discovery
- Balancing speed vs. robustness knowing when to prototype and when to productionise
- Leveraging modern AI tooling to accelerate both development and data enrichment
What our ideal candidate possesses:
- Direct exposure to commodities-related dataset engineering (energy, metals, freight, weather, satellite, demand, physical flows, etc.)
- 4+ years building ingestion-heavy data systems (Python + SQL)
- Experience in a trading, hedge fund, alternative data, commodity merchant, or energy analytics environment
- Demonstrable system design capability not just pipeline implementation
- Strong familiarity with tools such as Airflow, Spark, distributed compute, or similar modern data stacks is expected.
This is the right role for you if you're looking for:
- A function where your work feeds live trading strategies
- Research iteration cycles measured in days
- No legacy bureaucracy
- Engineering-led environment
- Global firm with top-tier commodities trading presence in Singapore
- Compensation aligned to top-tier buy-side standards
If you fit the requirements and you're keen to explore this role, apply now.
- Caveat 1: This mandate is highly selective. Interviews will focus on the nature of datasets you've worked with, and your engineering and system design skills.
- Caveat 2: This role is open to suitable candidates in SG and candidates looking to relocate to SG.
If this sounds like the right fit, I'd be keen to speak. Apply now, or email me directly at [Confidential Information] with your CV.
