Quantitative Analyst
2 weeks ago
The Quantitative Development team operates closely with traders and researchers to design, implement, and maintain sophisticated tools, frameworks, and models. As the demand for advanced research in Commodities grows, we are seeking a Quant Developer to transform innovative research concepts into practical models and systems, utilizing robust and scalable production-quality code. This role is integral to a dynamic initiative aimed at modernizing the Commodity Risk and Trading platform.
Your Responsibilities:
- Architect and develop systems for executing Commodities research and generating real-time alpha.
- Create customized frameworks for the exploration, design, and deployment of systematic strategies and signals.
- Enhance research efficiency and develop back-testing and simulation frameworks to ensure smooth strategy execution.
- Apply machine learning techniques to analyze extensive alternative datasets.
- Develop desktop applications for profit and loss estimates and position tracking.
Qualifications / About You:
- Solid academic foundation with a Bachelor’s or Master’s degree in Computer Science or a related field.
- Professional experience collaborating on relevant systems and executing strategies.
- Proficient in Python programming.
- Exceptional analytical and quantitative abilities; adept at connecting business challenges with technical solutions.
- Creative problem-solving skills for tackling complex mathematical and computer science issues.
Additional Insights:
- The organization boasts a strong culture and is highly regarded in the industry, known for delivering cutting-edge technology and continuous innovation.
- Thurn Partners places significant investment in its workforce and work environment - featuring a flat organizational structure with opportunities for advancement.
- This is a permanent role offering a competitive salary along with a comprehensive benefits package.
The framework supports models with substantial volumes of alternative datasets to effectively monitor and leverage the live supply and demand dynamics for Power and Gas.
The complexities of these markets are increasing daily. Factors such as enhanced fracking in Europe and the US, advancements in liquid gas technology facilitating shipping from various regions, and other geopolitical challenges complicate predictions regarding gas supply and demand. Moreover, fluctuations in electrical demand during economic shifts add to the intricacies of the Power market. These elements drive the need for sophisticated mathematical and statistical models that can seamlessly interact, presenting significant quantitative and engineering challenges.
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