$350,000 - 500,000 yearly
Number of Applicants
:000+
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Our Client is a market leading innovative technology house that has operations in all continents round the globe. They are a renowned global employer of choice that provides one of the greatest working environments available in technology combined with the financial benefits of working in and around trading. Design and scale cloud-native quantitative solutions for commodities trading, partnering with traders and researchers to deliver risk, PnL, and machine learning tools in a fast-paced environment.
About You:
You bring at least five years of experience developing production-grade Python systems in mission-critical settings. You design elegant architectures and communicate effectively across technical and business stakeholders. Experience with AWS, dashboarding tools (Dash, Tableau), strongly typed languages (C#, C++), and financial markets—particularly power markets—is advantageous. You’re analytical, rigorous, adaptable, and comfortable working independently within global teams.
What You'll Do:
Play a key role in delivering advanced quantitative tools for the energy desk, working side-by-side with Traders and Quant Researchers. You’ll design cloud-native systems that transform alternative datasets into actionable insights across risk, PnL, and modelling workflows.
Your responsibilities will include:
Why Join Us:
You’ll operate in a fast-paced, intellectually demanding commodities environment with direct exposure to trading decisions. This is an opportunity to influence real-world market outcomes while building robust, scalable systems that power a growing quantitative platform.
If you’re motivated to build high-impact quantitative tools at the heart of commodities trading, this role offers the ownership, complexity, and market exposure to elevate your career.
#Python #QuantitativeDeveloper #Commodities #EnergyTrading #PowerMarkets #CloudNative #AWS #MachineLearning #StatisticalModelling #RiskManagement #PnL #Dashboarding #CSharp #CPlusPlus #FinancialTechnology
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