Python Data Engineer – Finance & Client Success

Validus Risk Management Limited; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Health care

Retirement plans

Support for professional qualification

Job summary

Validus Risk Management Limited is seeking a Python Developer to join the Client Success Team. You will own small-to-medium scope enhancements from idea to production, driving measurable business impact within the Horizon platform.

You will design full-stack solutions, develop ETL processes, and contribute to CST initiatives with strong communication and accountability. The role emphasizes quality and delivery in a fast-paced financial analytics environment.

Qualifications

• 1–3 years of professional software development experience.
• Strong academic background in a quantitative discipline (Mathematics, Physics, Financial Engineering, Computer Science, etc.).
• Experience in Python or a similar language used in data analysis.
• Keen interest in financial markets, with a focus on FX and interest rate products.

Responsibilities

• Own multiple CST initiatives, ensuring timely execution with clear stakeholder communication and transparency.
• Design and implement full stack solutions (backend services, APIs, data pipelines, and frontend components) aligned with Horizon architecture and best practices.
• Develop and maintain ETL processes (data ingestion, transformation, reporting, etc.) to enhance data availability and usability.
• Drive improvements in Validus’ product offering, supporting innovation and platform development.

Skills

Python

ETL

Data pipelines

Financial markets interest

Education

Bachelor's degree in a quantitative discipline

MSc degree in STEM

Job description

Validus Risk Management Limited is seeking a Python Developer to join the Client Success Team. You will own small-to-medium scope enhancements from idea to production, driving measurable business impact within the Horizon platform.

You will design full-stack solutions, develop ETL processes, and contribute to CST initiatives with strong communication and accountability. The role emphasizes quality and delivery in a fast-paced financial analytics environment.