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- Tasks: Join our team to build cutting-edge analytics and trader support tools for commodities.
- Company: Millennium is a leading global hedge fund focused on tech and data science innovations.
- Benefits: Enjoy a dynamic work environment with excellent growth opportunities and a chance to innovate.
- Why this job: Be part of a fast-paced team that values creativity and offers impactful work in finance.
- Qualifications: Strong Python and SQL skills, plus experience in data modeling and software development lifecycle required.
- Other info: Familiarity with tools like Airflow and Flask is a plus!
The predicted salary is between 48000 - 84000 £ per year.
Job Description
Quantitative Developer – Commodities
- 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
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Quantitative Developer - Commodities employer: Millennium Management, LLC
Contact Detail:
Millennium Management, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Commodities
✨Tip Number 1
Make sure to showcase your strong Python fundamentals and SQL/database experience in your discussions. Highlight specific projects where you've utilized these skills, especially in the context of data modeling and analytics.
✨Tip Number 2
Familiarize yourself with the tools and libraries mentioned in the job description, like Airflow, Flask, and Dash. Being able to discuss how you've used or can use these tools in your work will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with the complete software development lifecycle. Be ready to share examples of how you've worked independently on projects, emphasizing your problem-solving skills and ability to deliver results.
✨Tip Number 4
Since this role involves collaboration with Quant Researchers and Portfolio Managers, practice articulating your ideas clearly and concisely. Demonstrating effective communication skills will be crucial in showing that you can work well within a team.
We think you need these skills to ace Quantitative Developer - Commodities
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Developer position. Understand the key responsibilities and required skillset, especially focusing on Python fundamentals, SQL experience, and familiarity with data modeling pipelines.
Tailor Your CV: Customize your CV to highlight relevant experiences that align with the job requirements. Emphasize your background in quantitative development, data science, and any specific projects related to commodities or financial modeling.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for technology and data science in the financial industry. Mention specific tools and libraries you have worked with, such as Airflow or Flask, and how they relate to the role.
Proofread and Submit: Before submitting your application, carefully proofread all documents for clarity and correctness. Ensure that your application is complete and that you have included all necessary information, then submit it through our website.
How to prepare for a job interview at Millennium Management, LLC
✨Showcase Your Python and SQL Skills
Make sure to highlight your strong Python fundamentals and SQL/database experience during the interview. Be prepared to discuss specific projects where you've utilized these skills, especially in the context of data science and modeling.
✨Demonstrate Your Understanding of Data Modelling
Since the role involves all stages of the data modeling pipeline, be ready to explain your experience with data access, transformation, model training, and inference. Use examples from your past work to illustrate your expertise.
✨Discuss Your Experience with Statistical and Machine Learning Models
Prepare to talk about your hands-on experience with statistical and machine learning models. Discuss any relevant projects where you built or maintained these models, particularly in the commodities or financial sectors.
✨Familiarize Yourself with Relevant Tools
If you have experience with tools like Airflow, Flask, or Dash, make sure to mention it. If not, take some time to learn about them before the interview, as familiarity with these tools can set you apart from other candidates.
