Highlights
Data-driven analytics, Python development, AWS expertise, cloud application management
Description
Job Summary
pWe are seeking a Quantitative Developer to join our Enterprise Risk Technology team at Millennium, a leading global hedge fund. The role involves developing multi-asset analytics and stress tests using Python and FastAPI/Django on AWS. You will work closely with quants, risk managers, and technologists from New York, London, and Singapore.
Responsibilities
- Develop multi-asset analytics and stress tests
- Create micro-services using Python and data analysis libraries like pandas/polars
- Create and manage cloud applications on AWS
- Utilize GIT for version control and appropriate DBMS solutions
Required Skills
- Python programming
- Data manipulation with pandas/polars
- AWS cloud services (EC2, S3)
- Relational database development
- Unix/Linux command-line skills
Required Skills Explained
- Strong analytical skills and problem-solving capabilities to handle complex data-driven tasks.
- Experience with Python, particularly with data analysis libraries like Pandas/Polars for handling large datasets efficiently.
- Familiarity with REST APIs and cloud services, specifically AWS, including EC2, S3, Aurora, Redshift.
- Knowledge of Unix/Linux command-line operations to manage and automate tasks.
- Experience in relational SQL database development using appropriate DBMS solutions.
Who is this for
pOur ideal candidate has a strong analytical background and experience in developing data-driven solutions. You should be comfortable working with Python, AWS cloud services, and relational databases.
Why This Job is a Good Opportunity
ulliTo be part of a top-tier global hedge fund known for leveraging technology and data science innovations.liThe chance to work with multidisciplinary teams across multiple locations, fostering collaboration and innovation.liDeveloping cutting-edge solutions in the risk management space using Python and other modern technologies.liA competitive environment that encourages professional growth and skill development.
Interview Preparation Tips
- Prepare examples of how you have used Python for data analysis or developed REST APIs to solve complex problems.
- Showcase your experience with AWS services, including cloud applications and database management.
- Demonstrate your problem-solving skills through case studies where you had to analyze and resolve issues in a technical environment.
- Highlight your Unix/Linux command-line proficiency by providing examples of scripts or commands you have used effectively.
Career Growth in This Role
pThis role provides significant opportunities for career advancement within the Enterprise Risk Technology team. With experience, one can move into leadership positions managing larger projects or teams. Additionally, given the importance of quantitative analysis and technology in finance, there is a high demand for professionals with these skills, opening doors to other sectors such as fintech startups or big tech firms.pThe continuous learning environment at Millennium encourages staying updated with the latest trends and technologies, ensuring long-term career sustainability.
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Skills
Frequently Asked Questions
What is the primary responsibility of a Quantitative Developer?The role involves developing data-driven solutions, creating micro-services with Python, and managing cloud applications on AWS.
Which databases will I be working with?You will use relational SQL databases and have experience with AWS Aurora and Redshift.
What kind of analytical skills are required for this role?Strong problem-solving abilities and the capability to handle complex data analysis tasks are essential.
