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 and trader support tools. This team will sit under the Fixed Income & Commodities Technology (FICT) group and will develop and maintain the in-house pricing libraries to support trading in Fixed Income, Commodities, Credit, and FX business at Millennium. FICT provides a dynamic and fast-paced environment with excellent growth opportunities.
Primary Responsibilities
Work with Quant Researchers, Portfolio Managers & Technology teams to build commodities fundamental analytics and modelling platform from scratch
Develop scalable libraries and APIs for commodities fundamental modelling across multiple assets and geographies
Build, help maintain and operate end to end modelling pipeline involving diverse and large set of statistical and machine learning models
Build scalable tools to aid data analysis and visualization
Work with broader team to develop robust delivery and operating models, enabling rapid development and scalable deployment of new capabilities
Required Skillset
Strong Python Fundamentals knowledge (for data science) and SQL/ Database experience
Solid experience with all stages of data modelling pipeline – Data access, Transformation, model training and inference pipeline and Data analysis tools
Able to work independently with hands on experience on complete software development lifecycle and relevant development tools
Prior experience as Quant Developer/ Data Scientist in financial industry
Commodities and hands on statistical/ data modelling experience preferred
Familiarity with tools and libraries like Airflow, Flask, Dash etc preferred