Quantitative Developer - Python

Millennium; London; On-site; GBP 180,000 - 350,000; Full time

Job summary

An established industry player is seeking a skilled Quantitative Developer specializing in Python and cloud technologies. This exciting role involves creating innovative risk management solutions that empower Portfolio and Risk Managers. You will work at the intersection of finance and technology, developing data-driven applications and mentoring junior team members. Join a dynamic environment where your contributions will have a significant impact on the business's success. If you are passionate about leveraging technology to solve complex challenges, this opportunity is perfect for you.

Qualifications

• 5+ years of experience using Python and scientific libraries.
• Strong understanding of cloud infrastructure and services.

Responsibilities

• Develop risk analytics solutions for Equity Derivatives businesses.
• Design and implement cloud-native applications leveraging AWS.

Skills

Python

Scientific Python Libraries (e.g., pandas, NumPy, SciPy)

Cloud Infrastructure (AWS, Azure, GCP)

Data Modeling

Analytical Skills

Unix/Linux Command Line

Job description

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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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Investment Management

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