Introduction:
Our client, a Tier 1 Investment Bank are seeking a Commodity Quant Analyst to support their commodity trading business. You will come in as the lead quant support in London. As part of this role you will responsible for the innovative modelling of commodity products and payoffs. You will also work very closely with trading, providing ad-hoc tool building and help systematise their trading strategies. The bank's culture is very collaborative and there is emphasis placed on a good work-life balance.
Key Responsibilities:
- Develop and implement quantitative models for pricing, risk management, and trading strategies in the commodities markets.
- Conduct research and development of new analytical frameworks and financial models tailored to commodities.
- Build and maintain end-user tools in Python, providing user-friendly interfaces for in-house analytics models and machine learning tools.
- Collaborate closely with traders, risk managers, and other stakeholders to address quantitative modeling issues and support trading activities.
- Engage with outside organizations to help them comprehend and use front-office analytics models.
Required Skills and Qualifications:
- An advanced university degree in a STEM subject
- A minimum of 3 years of industry experience in front office positions is required
- Previous experience with metals products and models is highly desirable.
- Proficiency in software development using Python, C#, C++, and/or .NET.
- Strong communication and interpersonal skills, with the ability to interact effectively with a wide range of stakeholders
How to Apply: Interested candidates are invited to submit their resume with their relevant experience and qualifications
