Quantitative Developer - Python

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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 enhance risk metrics.
• Develop data ingestion pipelines and analytics for 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 (pandas, NumPy, SciPy).
• Strong understanding of cloud infrastructure and experience working with cloud services (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.

Job ID REQ-25134
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