Quantitative Developer – Python

4 days ago

Bengaluru, Karnataka, India Millennium Management Full time

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 and dashboards to Risk Managers, & Business Management.

Responsibilities:

  • Design, develop, and maintain data pipelines, dashboards and analytics library.
  • Collaborate with risk management for rapid prototyping and delivery of solutions to enhancement risk metrics and data visualization.
  • Design and implement cloud-native, data-intensive applications that effectively leverage AWS solutions
  • Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to Portfolio and Risk Managers
  • Participate in evolving overall infrastructure and architecture/design for risk systems with technology trends, tools and best practices.

Requirements:

  • Minimum 2 years of experience using Python to build piplelines/dashboards using python libraries (e.g., pandas, NumpPy, SciPy, Plotly).
  • Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure).
  • Prior experience in system design and data modelling, 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 financial products
  • 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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