Job Description

Job Title:

Software Developer - Python - Risk Tech Equity Derivatives

Location:

London office (In office - 5 days a week)

Company:

Financial services (Hedge fund)

The 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.

Ability to deliver timely solutions to Portfolio and Risk Managers

Required Skills/Experience:

The ideal candidate has worked in Risk Technology in Equities Derivatives.

Minimum 3+ 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.

Job Type: Full-time

Pay: 100,000.00-160,000.00 per year

Work Location: In person

Expected start date: 22/09/2025