Cititec Talent has partnered with a leading global commodities trading firm to find a Front Office Development Lead. In this role, you will be at the forefront of developing and optimising analytics and data solutions that empower traders and analysts to make data-driven decisions.
This is a unique opportunity to work closely with traders and analysts, building high-performance analytics platforms that directly impact trading decisions in oil and agriculture. You will lead the development of scalable data solutions, optimise market data pipelines, and deploy cloud-based analytics models in a dynamic, fast-paced trading environment.
Key Responsibilities:
- Develop and enhance analytics platforms by collaborating with traders, analysts, and technology teams to streamline data workflows.
- Lead development initiatives, facilitating regular stand-ups to drive progress and align with business objectives.
- Architect and implement scalable data engineering solutions, including analytics dashboards using Tableau, BI, and React.
- Automate and manage the release of fundamental and market data, ensuring its accuracy, integrity, and accessibility.
- Integrate and optimise new market data sources, working with third-party vendors to enhance data capabilities.
- Deploy, maintain, and optimise cloud-based analytics models to ensure high performance, scalability, and reliability in a trading environment.
Key Skills Required:
- Proven experience leading development within a Front Office trading or commodities environment.
- Experience with Python programming and strong SQL skills for data extraction, transformation, and analysis.
- Hands-on experience in building and optimising market data pipelines, analytics tools, and trading applications.
- Strong knowledge of market data structures, pricing models, market curves, and settlement curves, with a track record of implementing scalable solutions.
- Experience in data visualisation and developing analytics tools using Tableau, BI, and React.
- Strong background in cloud-based architectures, API integrations, and deploying models for real-time data processing.
- Proven ability to design, develop, and maintain high-performance systems in a fast-paced, high-pressure trading environment.
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