Quantitative Developer - Commodities
Bangalore, Karnataka - 1 Sobha Church Street, India
Millennium
Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.
Quantitative Developer - CommoditiesMillennium 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
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
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Airflow APIs Data analysis Flask Machine Learning ML models Model training Python SQL Statistics
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
India
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