Quantitative Researcher - Commodities
London - 10 Old Burlington Street, United Kingdom
Millennium
Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics, Trader & Risk support tools.
Responsibilities
- Work as part of a global team doing Commodities Model Research, Data Exploration & Project/code base maintenance
- Set up data pipelines, build analytical models & create visualization dashboards
- Interact with broad group of stakeholders including senior portfolio managers, business and technology leadership
- Role will focus on market positioning analytics
Requirements
- Minimum 5 years of experience working with commodities futures market data and positioning data
- Prior experience with ETL pipelines
- Strong Python skills, practical knowledge of the python data science eco-system (numpy, pandas, jupyter, plotly, etc.)
- Experience developing on a Linux-based platform, cloud experience an advantage
- Good knowledge of Statistics and Data Science
- Knowledge of any trading systems and Portfolio Management advantageous
- Solid communications skills
- Able to work independently in a fast-paced environment
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data pipelines ETL Jupyter Linux NumPy Pandas Pipelines Plotly Python Research Statistics
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