Millennium

Quantitative Developer - Python

Millennium London, England, United Kingdom
Millennium

Quantitative Developer - Python

Millennium London, England, United Kingdom
2 weeks ago 186 applicants

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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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