Quantitative Developer - Python

Millennium Management; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading hedge fund is seeking a Quantitative Developer specialized in Python to enhance their risk management solutions. You will work closely with Portfolio and Risk Managers, delivering data-driven applications and mentoring junior members. Ideal candidates will have strong experience in data modeling, cloud infrastructure, and quantitative finance.

Qualifications

• 5+ years of experience using Python and scientific libraries.
• Strong understanding of cloud infrastructure (AWS, Azure, GCP).
• Experience in system design and data modeling.

Responsibilities

• Develop risk analytics solutions for Equity Derivatives.
• Collaborate for rapid prototyping of solutions.
• Design cloud-native applications using AWS.

Skills

Python

Cloud infrastructure

Data modeling

Analytical skills

Relational database development

Unix/Linux

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.