Quantitative Developer - Python (Hiring Immediately)

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Join to apply for the Quantitative Developer - Python role at Millennium

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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.

• Seniority level
  Mid-Senior level

• Employment type
  Full-time

• Job function
  Finance and Sales
• Industries
  Investment Management

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