Quantitative Developer - Python

Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required. 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.

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