Quant Analyst - Commodities (Power, Natural Gas, Oil, Metals)
A leading Multi-Strategy Hedge Fund is hiring a Quantitative Analyst to join their team focused on building Pricing & Risk Analytics for the Commodities Trading business.
The fund is expanding their Commodities business and seeking expertise on both the physical and financial trading sides. With this newly created position, centrally located and supporting all Commodity trading across the wider business. This team sits in an interesting position at the intersection of Trading/PMs, Risk Management, Quant Research, and Engineering; responsibilities in this role are cross functional, and the ideal candidate will have a mix of relevant experience.
Ideally the team is looking for someone with a strong quantitative background who has experience building and/or enhancing risk and pricing analytics, and most importantly understanding global commodity markets, the impact of physical flows on futures/options pricing, Greeks-based PnL and performance attribution, and providing accurate position marking and advice to the traders.
This team works very closely with individual PMs and Traders, as well as broader senior management in the Commodities business, and this hire will be providing performance analysis, pricing models and analytics, and risk/exposure metrics to the front office. Candidates who can combine technical/quantitative skills with a deep understanding of global commodity markets will be a great fit, specifically with expertise of global energies and metals.
Given the unique positioning of this group, the hiring team are open to speaking with candidates from a variety of backgrounds: Trading and Quantitative Trade Support, Desk Quants or Strats, Quantitative Risk Model Development or Validation, Derivative Pricing Model Development or Validation, or Quant Analysts focused on commodity derivative pricing engines and systems.
Requirements:
- 3+ years of experience at a commodity trading house, hedge fund, investment bank, or prop trading firm
- Deep knowledge in commodity markets, ideally covering energy trading in power, natural gas, crude oil, and/or metals
- Experience in a combination of: commodity derivative pricing models, commodity trading risk models, commodity market fundamentals, volatility surface enhancement and calibration, PnL analysis and Greeks-based PnL attribution, performance attribution analysis and reporting
- Coding proficiency in Python/SQL to work on risk and pricing models, and to build custom tools/dashboards
- Excellent verbal communication skills and ability to work in a fast-paced front office environment
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