Quantitative Developer - Python

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. 

Risk Technology team is looking for a Quantitative Developer who would leverage Python, Cloud infrastructure (AWS), and scientific frameworks to provide data-driven, risk management solutions to Risk Managers, Portfolio Managers, Business Management. 

Responsibilities: 

· Work in the intersection of Portfolio Management, Risk Management and Quantitative Research to develop risk analytics solutions for Equity Derivatives businesses. 

· Collaborate with risk management for rapid prototyping and delivery of solutions to enhancement risk metrics.  

· Develop data ingestion pipelines and analytics the generated information. 

· Design and implement cloud-native, data-intensive applications that effectively leverage AWS solutions

· Mentor junior team members, fostering growth and collaboration within the team. 

· Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to Portfolio and Risk Managers

Required Skills/Experience: 

·         Minimum 5 years of experience using Python and scientific python libraries (e.g., pandas, NumpPy, SciPy). 

·         Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure, or GCP). 

·         Prior experience in system design and data modeling, with the ability to architect scalable and efficient solutions for trading, risk management or similar functions. 

·         Strong analytical and mathematical skills, with interest and exposure to quantitative finance and equity derivative products (desirable)

·         Relational database development experience, with a focus on designing efficient schemas and optimizing queries. 

·         Unix/Linux command-line experience. 

·         Ability to work independently in a fast-paced environment. 

·         Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.