Carter Wahlberg

Commodities Quant Trader (Oil, Metals, Ags)
Major Energy &amp; Commodities Trading House - London (On-site / Hybrid)
A leading global energy and commodities trading house is expanding its systematic trading capability within a well-established proprietary trading desk. The team runs a diversified book across oil, refined products, ags and metals, and is building out a more model-driven, systematic sleeve alongside its core fundamental and relative-value strategies.
This is a high-ownership quant trading seat: you will build and run systematic strategies end-to-end and
trade them live, owning the risk and P&amp;L
. The platform (data, backtesting, execution, risk) is already in place, so your focus is generating alpha and running the book, not rebuilding infrastructure. Well-built strategies translate straight into P&amp;L, and the people who build them are the ones who trade them.
YOUR ROLE:
<ul>
<li>Build, deploy and
trade
systematic strategies across oil, refined products, ags and metals, using market data plus fundamental/alternative datasets (inventories, flows, weather, positioning, text, etc.).</li>
<li>Own the full cycle from idea to live trading: signal research, backtesting, stress testing, cost/slippage modelling, execution and live risk management.</li>
<li>Run your book day to day, managing exposures, position sizing and P&amp;L, and iterating strategies based on performance attribution and changing market structure.</li>
<li>Work closely with senior traders and quants on research direction, portfolio construction and risk; contribute to business discussions as the systematic book scales.</li>
<li>Build and maintain your own research stack in Python and partner with quant developers to productionise strategies.</li>
</ul>
YOUR PROFILE:
<ul>
<li>3-5 years in a systematic quant
trading
(or research-to-trading) role at a hedge fund, prop shop, bank or major physical merchant, with a genuine signal-generation and live-trading track record.</li>
<li>Exposure to at least two of: oil &amp; products, ags, metals; cross-commodity experience a strong plus.</li>
<li>Strong Python and SQL, comfortable in at least one OO language; able to build your own tools rather than wait for them.</li>
<li>Solid time-series modelling, statistical learning and portfolio/risk skills, with a track record of turning signals and domain insight into P&amp;L.</li>
<li>Based in London or willing to relocate; on-site presence preferred to sit close to the desk.</li>
</ul>
WHAT'S ON OFFER:
<ul>
<li>A direct line from your models to live risk and P&amp;L, you build the strategies and you trade them; discretion is reserved for genuine market dislocations, not second-guessing signals.</li>
<li>Access to extensive market data, fundamental research and physical-market insight across oil, ags and metals.</li>
<li>An experienced team of quants, traders and engineers who've already built the core infrastructure, so you focus on alpha and trading, not plumbing.</li>
<li>Competitive compensation with meaningful upside tied to the performance of the book you run.</li>
</ul>
Please click the 'Apply' button.

Commodities Quant Trader (Oil, Metals, Ags)

Commodities Quant Trader (Oil, Metals, Ags)

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