Commodities Quant Researcher: Oil, Gas & Metals

Carter Wahlberg; Greater London; Hybrid; GBP 80,000 - 140,000; Full time

Job summary

Major Energy Trading House in London seeks a Commodities Quant Researcher to develop and run systematic signals across oil, gas, metals and refined products. You will own the research-to-production cycle, collaborating with senior traders and quants to deploy models that feed directly into live trading.

The role emphasizes building your own Python-based research stack, stress testing, and performance attribution.

Qualifications

• 3-5 years in a systematic quantitative research or trading role (hedge fund, prop shop, bank or major physical merchant).
• Exposure to at least two of: oil & products, gas, metals; cross-commodity experience is a strong plus.
• Strong Python and SQL, comfortable in at least one OO language; build your own tools.
• Solid grasp of time-series modelling, statistical learning and portfolio/risk concepts; translate domain expertise into P&L-generating ideas.
• Based in London or willing to relocate; on-site presence is preferred to work closely with the trading desk.

Responsibilities

• Develop original quantitative signals and systematic strategies across oil, refined products, gas and metals.
• Own the full research‑to‑production cycle: idea generation, backtesting, stress testing, cost/slippage modelling and live deployment.
• Work closely with senior traders and quants on research direction, portfolio construction and risk management; contribute to business‑management discussions as the book grows.
• Build and maintain your own research stack in Python and collaborate with quant developers to productionise code.
• Monitor live strategies, exposures and P&L, and iterate models based on performance attribution and changing market structure.

Skills

Python

SQL

Time-series modelling

Statistical learning

Portfolio/risk concepts

Job description

Major Energy Trading House in London seeks a Commodities Quant Researcher to develop and run systematic signals across oil, gas, metals and refined products. You will own the research-to-production cycle, collaborating with senior traders and quants to deploy models that feed directly into live trading.

The role emphasizes building your own Python-based research stack, stress testing, and performance attribution.