Quantitative Developer - Python

Millennium Management LLC

London, United Kingdom

Permanent

2025-07-12T07:36:42.190Z

22724606

Full time

Competitive

Job Description

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.

#s1-Gen

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.