<p>We are seeking an experienced <strong>Python Developer</strong> with strong domain expertise in <strong>commodities trading and fixed‑income markets</strong> to support the development and modernization of trading, risk, and analytics platforms. This role sits close to the <strong>front office</strong> and focuses on building high‑performance systems that support trade capture, position management, valuation, P& L, and market data processing.</p><p>The ideal candidate combines <strong>advanced Python engineering skills</strong> with a deep understanding of <strong>trading workflows</strong>, <strong>financial instruments</strong>, and <strong>market data</strong> across commodities and fixed‑income products.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>Python‑based applications and services</strong> supporting trading and risk platforms</li><li>Build systems to process <strong>trade capture, positions, P& L, valuations, and exposure calculations</strong></li><li>Work with <strong>commodities and fixed‑income instruments</strong>, including pricing and lifecycle events</li><li>Integrate real‑time and batch <strong>market data feeds</strong> (e.g., ICE, CME, Bloomberg, Refinitiv)</li><li>Develop APIs and data pipelines to support front‑office, risk, and downstream reporting systems</li><li>Optimize performance for high‑volume financial data processing and analytics</li><li>Partner closely with <strong>traders, risk managers, and quantitative teams</strong> to translate business requirements into technical solutions</li><li>Ensure data accuracy, reconciliation, and consistency across trading and risk system</li></ul><p><br></p>

<ul><li>trong professional experience developing in <strong>Python</strong> within financial markets</li><li>Extensive experience in <strong>commodities trading</strong> (energy, metals, ags) and/or <strong>fixed‑income / fixed‑asset products</strong></li><li>Deep understanding of <strong>trading lifecycle workflows</strong>: trade capture, confirmation, settlement, P& L, and risk</li><li>Solid experience working with <strong>financial instruments</strong>, pricing models, and time‑series data</li><li>Advanced <strong>SQL</strong> skills and experience with relational and analytical databases</li><li>Experience building backend services, APIs, or data pipelines in trading environments</li><li>Ability to work effectively with front‑office stakeholders and translate trading concepts into code</li></ul><p>Nice to Have</p><ul><li>Experience with <strong>cloud platforms</strong> (AWS, Azure, or GCP)</li><li>Familiarity with <strong>risk metrics</strong> (VaR, Greeks, sensitivities, exposure)</li><li>Experience with <strong>event‑driven architectures</strong>, messaging systems, or streaming data</li><li>Exposure to <strong>C++</strong>, <strong>Java</strong>, or quantitative libraries</li><li>Experience supporting <strong>high‑availability, low‑latency systems</strong></li></ul><p><br></p>

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