Quantitative Developer - Python

Millennium Management LLC; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading financial services firm in London seeks a skilled professional to work in Portfolio and Risk Management. This role involves developing risk analytics solutions and cloud-native applications, mentoring team members, and contributing to a dynamic work environment. The ideal candidate has over 5 years of experience in Python and cloud infrastructure, with strong analytical skills in quantitative finance.

Qualifications

• Minimum 5 years of experience using Python and scientific Python libraries.
• Strong understanding of cloud infrastructure and experience with AWS, Azure, or GCP.
• Ability to architect scalable solutions for trading and risk management.
• Experience in relational database development and Unix/Linux command-line.

Responsibilities

• Develop risk analytics solutions for Equity Derivatives businesses.
• Collaborate with risk management for prototype delivery.
• Design and implement cloud-native applications leveraging AWS.

Skills

Python

AWS

Analytical skills

Unix/Linux

Data modeling

Quantitative finance

Job description

Social network you want to login/join with:

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 enhance risk metrics.
• Develop data ingestion pipelines and analytics for 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 (pandas, NumPy, SciPy).
• Strong understanding of cloud infrastructure and experience working with cloud services (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.

Job ID REQ-25134